{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "36085c7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import all the tools we need\n",
    "\n",
    "# Regular EDA(Exploratory data analysis) and plotting libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "#We want our plots to appear inside the notebook\n",
    "%matplotlib inline \n",
    "\n",
    "# Models from Scikit-Learn\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "# Model Evaluations\n",
    "from sklearn.model_selection import train_test_split,cross_val_score\n",
    "from sklearn.model_selection import RandomizedSearchCV,GridSearchCV\n",
    "from sklearn.metrics import confusion_matrix, classification_report\n",
    "from sklearn.metrics import roc_curve,plot_roc_curve\n",
    "\n",
    "#Ignoring the warnings\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "#Pandas-Profiling helps to build a widget that can be used to better visualise it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8f1f9e01",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(\"heart-disease.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e9726f6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(303, 14)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f74d1597",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>145</td>\n",
       "      <td>233</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>130</td>\n",
       "      <td>250</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>187</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>204</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>120</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>178</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "      <td>354</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
       "0   63    1   3       145   233    1        0      150      0      2.3      0   \n",
       "1   37    1   2       130   250    0        1      187      0      3.5      0   \n",
       "2   41    0   1       130   204    0        0      172      0      1.4      2   \n",
       "3   56    1   1       120   236    0        1      178      0      0.8      2   \n",
       "4   57    0   0       120   354    0        1      163      1      0.6      2   \n",
       "\n",
       "   ca  thal  target  \n",
       "0   0     1       1  \n",
       "1   0     2       1  \n",
       "2   0     2       1  \n",
       "3   0     2       1  \n",
       "4   0     2       1  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9fe2be59",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 303 entries, 0 to 302\n",
      "Data columns (total 14 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       303 non-null    int64  \n",
      " 1   sex       303 non-null    int64  \n",
      " 2   cp        303 non-null    int64  \n",
      " 3   trestbps  303 non-null    int64  \n",
      " 4   chol      303 non-null    int64  \n",
      " 5   fbs       303 non-null    int64  \n",
      " 6   restecg   303 non-null    int64  \n",
      " 7   thalach   303 non-null    int64  \n",
      " 8   exang     303 non-null    int64  \n",
      " 9   oldpeak   303 non-null    float64\n",
      " 10  slope     303 non-null    int64  \n",
      " 11  ca        303 non-null    int64  \n",
      " 12  thal      303 non-null    int64  \n",
      " 13  target    303 non-null    int64  \n",
      "dtypes: float64(1), int64(13)\n",
      "memory usage: 33.3 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "448aadfa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age         0\n",
       "sex         0\n",
       "cp          0\n",
       "trestbps    0\n",
       "chol        0\n",
       "fbs         0\n",
       "restecg     0\n",
       "thalach     0\n",
       "exang       0\n",
       "oldpeak     0\n",
       "slope       0\n",
       "ca          0\n",
       "thal        0\n",
       "target      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum() #if any values is missing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7fafecb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.098447</td>\n",
       "      <td>-0.068653</td>\n",
       "      <td>0.279351</td>\n",
       "      <td>0.213678</td>\n",
       "      <td>0.121308</td>\n",
       "      <td>-0.116211</td>\n",
       "      <td>-0.398522</td>\n",
       "      <td>0.096801</td>\n",
       "      <td>0.210013</td>\n",
       "      <td>-0.168814</td>\n",
       "      <td>0.276326</td>\n",
       "      <td>0.068001</td>\n",
       "      <td>-0.225439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <td>-0.098447</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.049353</td>\n",
       "      <td>-0.056769</td>\n",
       "      <td>-0.197912</td>\n",
       "      <td>0.045032</td>\n",
       "      <td>-0.058196</td>\n",
       "      <td>-0.044020</td>\n",
       "      <td>0.141664</td>\n",
       "      <td>0.096093</td>\n",
       "      <td>-0.030711</td>\n",
       "      <td>0.118261</td>\n",
       "      <td>0.210041</td>\n",
       "      <td>-0.280937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp</th>\n",
       "      <td>-0.068653</td>\n",
       "      <td>-0.049353</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.047608</td>\n",
       "      <td>-0.076904</td>\n",
       "      <td>0.094444</td>\n",
       "      <td>0.044421</td>\n",
       "      <td>0.295762</td>\n",
       "      <td>-0.394280</td>\n",
       "      <td>-0.149230</td>\n",
       "      <td>0.119717</td>\n",
       "      <td>-0.181053</td>\n",
       "      <td>-0.161736</td>\n",
       "      <td>0.433798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trestbps</th>\n",
       "      <td>0.279351</td>\n",
       "      <td>-0.056769</td>\n",
       "      <td>0.047608</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.123174</td>\n",
       "      <td>0.177531</td>\n",
       "      <td>-0.114103</td>\n",
       "      <td>-0.046698</td>\n",
       "      <td>0.067616</td>\n",
       "      <td>0.193216</td>\n",
       "      <td>-0.121475</td>\n",
       "      <td>0.101389</td>\n",
       "      <td>0.062210</td>\n",
       "      <td>-0.144931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chol</th>\n",
       "      <td>0.213678</td>\n",
       "      <td>-0.197912</td>\n",
       "      <td>-0.076904</td>\n",
       "      <td>0.123174</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.013294</td>\n",
       "      <td>-0.151040</td>\n",
       "      <td>-0.009940</td>\n",
       "      <td>0.067023</td>\n",
       "      <td>0.053952</td>\n",
       "      <td>-0.004038</td>\n",
       "      <td>0.070511</td>\n",
       "      <td>0.098803</td>\n",
       "      <td>-0.085239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fbs</th>\n",
       "      <td>0.121308</td>\n",
       "      <td>0.045032</td>\n",
       "      <td>0.094444</td>\n",
       "      <td>0.177531</td>\n",
       "      <td>0.013294</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.084189</td>\n",
       "      <td>-0.008567</td>\n",
       "      <td>0.025665</td>\n",
       "      <td>0.005747</td>\n",
       "      <td>-0.059894</td>\n",
       "      <td>0.137979</td>\n",
       "      <td>-0.032019</td>\n",
       "      <td>-0.028046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>restecg</th>\n",
       "      <td>-0.116211</td>\n",
       "      <td>-0.058196</td>\n",
       "      <td>0.044421</td>\n",
       "      <td>-0.114103</td>\n",
       "      <td>-0.151040</td>\n",
       "      <td>-0.084189</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.044123</td>\n",
       "      <td>-0.070733</td>\n",
       "      <td>-0.058770</td>\n",
       "      <td>0.093045</td>\n",
       "      <td>-0.072042</td>\n",
       "      <td>-0.011981</td>\n",
       "      <td>0.137230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thalach</th>\n",
       "      <td>-0.398522</td>\n",
       "      <td>-0.044020</td>\n",
       "      <td>0.295762</td>\n",
       "      <td>-0.046698</td>\n",
       "      <td>-0.009940</td>\n",
       "      <td>-0.008567</td>\n",
       "      <td>0.044123</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.378812</td>\n",
       "      <td>-0.344187</td>\n",
       "      <td>0.386784</td>\n",
       "      <td>-0.213177</td>\n",
       "      <td>-0.096439</td>\n",
       "      <td>0.421741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>exang</th>\n",
       "      <td>0.096801</td>\n",
       "      <td>0.141664</td>\n",
       "      <td>-0.394280</td>\n",
       "      <td>0.067616</td>\n",
       "      <td>0.067023</td>\n",
       "      <td>0.025665</td>\n",
       "      <td>-0.070733</td>\n",
       "      <td>-0.378812</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.288223</td>\n",
       "      <td>-0.257748</td>\n",
       "      <td>0.115739</td>\n",
       "      <td>0.206754</td>\n",
       "      <td>-0.436757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oldpeak</th>\n",
       "      <td>0.210013</td>\n",
       "      <td>0.096093</td>\n",
       "      <td>-0.149230</td>\n",
       "      <td>0.193216</td>\n",
       "      <td>0.053952</td>\n",
       "      <td>0.005747</td>\n",
       "      <td>-0.058770</td>\n",
       "      <td>-0.344187</td>\n",
       "      <td>0.288223</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.577537</td>\n",
       "      <td>0.222682</td>\n",
       "      <td>0.210244</td>\n",
       "      <td>-0.430696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>slope</th>\n",
       "      <td>-0.168814</td>\n",
       "      <td>-0.030711</td>\n",
       "      <td>0.119717</td>\n",
       "      <td>-0.121475</td>\n",
       "      <td>-0.004038</td>\n",
       "      <td>-0.059894</td>\n",
       "      <td>0.093045</td>\n",
       "      <td>0.386784</td>\n",
       "      <td>-0.257748</td>\n",
       "      <td>-0.577537</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.080155</td>\n",
       "      <td>-0.104764</td>\n",
       "      <td>0.345877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ca</th>\n",
       "      <td>0.276326</td>\n",
       "      <td>0.118261</td>\n",
       "      <td>-0.181053</td>\n",
       "      <td>0.101389</td>\n",
       "      <td>0.070511</td>\n",
       "      <td>0.137979</td>\n",
       "      <td>-0.072042</td>\n",
       "      <td>-0.213177</td>\n",
       "      <td>0.115739</td>\n",
       "      <td>0.222682</td>\n",
       "      <td>-0.080155</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.151832</td>\n",
       "      <td>-0.391724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thal</th>\n",
       "      <td>0.068001</td>\n",
       "      <td>0.210041</td>\n",
       "      <td>-0.161736</td>\n",
       "      <td>0.062210</td>\n",
       "      <td>0.098803</td>\n",
       "      <td>-0.032019</td>\n",
       "      <td>-0.011981</td>\n",
       "      <td>-0.096439</td>\n",
       "      <td>0.206754</td>\n",
       "      <td>0.210244</td>\n",
       "      <td>-0.104764</td>\n",
       "      <td>0.151832</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.344029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>-0.225439</td>\n",
       "      <td>-0.280937</td>\n",
       "      <td>0.433798</td>\n",
       "      <td>-0.144931</td>\n",
       "      <td>-0.085239</td>\n",
       "      <td>-0.028046</td>\n",
       "      <td>0.137230</td>\n",
       "      <td>0.421741</td>\n",
       "      <td>-0.436757</td>\n",
       "      <td>-0.430696</td>\n",
       "      <td>0.345877</td>\n",
       "      <td>-0.391724</td>\n",
       "      <td>-0.344029</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               age       sex        cp  trestbps      chol       fbs  \\\n",
       "age       1.000000 -0.098447 -0.068653  0.279351  0.213678  0.121308   \n",
       "sex      -0.098447  1.000000 -0.049353 -0.056769 -0.197912  0.045032   \n",
       "cp       -0.068653 -0.049353  1.000000  0.047608 -0.076904  0.094444   \n",
       "trestbps  0.279351 -0.056769  0.047608  1.000000  0.123174  0.177531   \n",
       "chol      0.213678 -0.197912 -0.076904  0.123174  1.000000  0.013294   \n",
       "fbs       0.121308  0.045032  0.094444  0.177531  0.013294  1.000000   \n",
       "restecg  -0.116211 -0.058196  0.044421 -0.114103 -0.151040 -0.084189   \n",
       "thalach  -0.398522 -0.044020  0.295762 -0.046698 -0.009940 -0.008567   \n",
       "exang     0.096801  0.141664 -0.394280  0.067616  0.067023  0.025665   \n",
       "oldpeak   0.210013  0.096093 -0.149230  0.193216  0.053952  0.005747   \n",
       "slope    -0.168814 -0.030711  0.119717 -0.121475 -0.004038 -0.059894   \n",
       "ca        0.276326  0.118261 -0.181053  0.101389  0.070511  0.137979   \n",
       "thal      0.068001  0.210041 -0.161736  0.062210  0.098803 -0.032019   \n",
       "target   -0.225439 -0.280937  0.433798 -0.144931 -0.085239 -0.028046   \n",
       "\n",
       "           restecg   thalach     exang   oldpeak     slope        ca  \\\n",
       "age      -0.116211 -0.398522  0.096801  0.210013 -0.168814  0.276326   \n",
       "sex      -0.058196 -0.044020  0.141664  0.096093 -0.030711  0.118261   \n",
       "cp        0.044421  0.295762 -0.394280 -0.149230  0.119717 -0.181053   \n",
       "trestbps -0.114103 -0.046698  0.067616  0.193216 -0.121475  0.101389   \n",
       "chol     -0.151040 -0.009940  0.067023  0.053952 -0.004038  0.070511   \n",
       "fbs      -0.084189 -0.008567  0.025665  0.005747 -0.059894  0.137979   \n",
       "restecg   1.000000  0.044123 -0.070733 -0.058770  0.093045 -0.072042   \n",
       "thalach   0.044123  1.000000 -0.378812 -0.344187  0.386784 -0.213177   \n",
       "exang    -0.070733 -0.378812  1.000000  0.288223 -0.257748  0.115739   \n",
       "oldpeak  -0.058770 -0.344187  0.288223  1.000000 -0.577537  0.222682   \n",
       "slope     0.093045  0.386784 -0.257748 -0.577537  1.000000 -0.080155   \n",
       "ca       -0.072042 -0.213177  0.115739  0.222682 -0.080155  1.000000   \n",
       "thal     -0.011981 -0.096439  0.206754  0.210244 -0.104764  0.151832   \n",
       "target    0.137230  0.421741 -0.436757 -0.430696  0.345877 -0.391724   \n",
       "\n",
       "              thal    target  \n",
       "age       0.068001 -0.225439  \n",
       "sex       0.210041 -0.280937  \n",
       "cp       -0.161736  0.433798  \n",
       "trestbps  0.062210 -0.144931  \n",
       "chol      0.098803 -0.085239  \n",
       "fbs      -0.032019 -0.028046  \n",
       "restecg  -0.011981  0.137230  \n",
       "thalach  -0.096439  0.421741  \n",
       "exang     0.206754 -0.436757  \n",
       "oldpeak   0.210244 -0.430696  \n",
       "slope    -0.104764  0.345877  \n",
       "ca        0.151832 -0.391724  \n",
       "thal      1.000000 -0.344029  \n",
       "target   -0.344029  1.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr() #correlation metrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bea9727e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_matrix=df.corr()\n",
    "fig,ax=plt.subplots(figsize=(15,10))\n",
    "ax=sns.heatmap(corr_matrix,annot=True,linewidths=0.5,fmt=\".2f\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3e4e58ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    165\n",
       "0    138\n",
       "Name: target, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['target'].value_counts() #jo pridiction cahiye"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "838d4e95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of Patients Haven't Heart Disease: 45.54%\n",
      "Percentage of Patients Have Heart Disease: 54.46%\n"
     ]
    }
   ],
   "source": [
    "countNoDisease=len(df[df.target==0]) #in percentage\n",
    "countHaveDisease=len(df[df.target==1])\n",
    "print(\"Percentage of Patients Haven't Heart Disease: {:.2f}%\".format((countNoDisease / (len(df.target))*100)))\n",
    "print(\"Percentage of Patients Have Heart Disease: {:.2f}%\".format((countHaveDisease / (len(df.target))*100)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e9853271",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Understanding the balancing of the data\n",
    "\n",
    "df['target'].value_counts().plot(kind='bar',color=['pink','lightblue'],title=\"Count of Diagnosis of heart disease target\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e0059b0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    207\n",
       "0     96\n",
       "Name: sex, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Male and Female\n",
    "\n",
    "df['sex'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "de774c4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>sex</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>24</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>72</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "sex      0    1\n",
       "target         \n",
       "0       24  114\n",
       "1       72   93"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Compare Target column i.e. Heart Disease with Sex Column\n",
    "\n",
    "pd.crosstab(df['target'],df['sex'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c40b8447",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1]), [Text(0, 0, '0'), Text(1, 0, '1')])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ix6NZs2bVvHnzWpeh8WK435K9qRjCW8slaaCFCxeO+n1W48lg1yfJ/KqaNdj+zpBJkiQ1ZiCTJElqzEAmSZLUmIFMkiRtkPF8H/pI2pDrYiCTJEmP2pQpU1i2bJmhbICqYtmyZUyZMuVRHecHw0qSpEdt+vTpLFmyhKVLl7YuZcyZMmUK06dPf1THGMgkSdKjtvnmm7Prrru2LmOT4ZKlJElSYwYySZKkxgxkkiRJjRnIJEmSGjOQSZIkNWYgkyRJasxAJkmS1JiBTJIkqTEDmSRJUmMGMkmSpMZGLJAl+XSSu5Ms6Gt7QpJrkizqfm7X1/euJLcl+WGSI0eqLkmSpLFmJGfIzgeOGtB2GnBtVe0GXNttk2Qv4HhgZnfMPyaZNIK1SZIkjRkjFsiq6jrg3gHNxwAXdM8vAI7ta7+4qn5bVT8BbgMOHKnaJEmSxpLRvodsp6q6E6D7uWPXPg24o2+/JV3bIyQ5Jcm8JPOWLl06osVKkiSNhrFyU38GaavBdqyq86pqVlXNmjp16giXJUmSNPJGO5DdlWRngO7n3V37EuBJfftNB342yrVJkiQ1MdqB7Apgdvd8NvClvvbjk2yZZFdgN+Dbo1ybJElSE5NHauAkFwGHAjskWQK8DzgLuDTJa4DbgZcDVNX3k1wK/ABYBby+qh4cqdokSZLGkhELZFV1wlq6Dl/L/h8CPjRS9UiSJI1VY+WmfkmSpAnLQCZJktSYgUySJKkxA5kkSVJjBjJJkqTGDGSSJEmNGcgkSZIaM5BJkiQ1ZiCTJElqzEAmSZLUmIFMkiSpMQOZJElSYwYySZKkxia3LkCSpHHtjG1bVzA2nbG8dQXjijNkkiRJjRnIJEmSGjOQSZIkNWYgkyRJasxAJkmS1JiBTJIkqTEDmSRJUmMGMkmSpMYMZJIkSY0ZyCRJkhozkEmSJDVmIJMkSWrMQCZJktSYgUySJKkxA5kkSVJjBjJJkqTGDGSSJEmNGcgkSZIaM5BJkiQ1ZiCTJElqzEAmSZLUmIFMkiSpMQOZJElSYwYySZKkxgxkkiRJjRnIJEmSGjOQSZIkNWYgkyRJasxAJkmS1JiBTJIkqTEDmSRJUmNNAlmSU5N8P8mCJBclmZLkCUmuSbKo+7ldi9okSZJG26gHsiTTgDcBs6rq6cAk4HjgNODaqtoNuLbbliRJ2uS1WrKcDGyVZDKwNfAz4Bjggq7/AuDYNqVJkiSNrlEPZFX1U+DDwO3AncDyqroa2Kmq7uz2uRPYcbRrkyRJaqHFkuV29GbDdgWeCDwmyYmP4vhTksxLMm/p0qUjVaYkSdKoabFk+TzgJ1W1tKpWAl8EDgHuSrIzQPfz7sEOrqrzqmpWVc2aOnXqqBUtSZI0UloEstuBg5JsnSTA4cBC4ApgdrfPbOBLDWqTJEkadZNH+4RV9a0klwHfAVYBNwHnAY8FLk3yGnqh7eWjXZskSVILox7IAKrqfcD7BjT/lt5smSRJ0oTiJ/VLkiQ1ZiCTJElqzEAmSZLUmIFMkiSpMQOZJElSYwYySZKkxgxkkiRJjRnIJEmSGjOQSZIkNWYgkyRJasxAJkmS1JiBTJIkqTEDmSRJUmMGMkmSpMYMZJIkSY0ZyCRJkhozkEmSJDU2uXUBkqTxYcZpV7YuYUxaPKV1BdoUOEMmSZLUmIFMkiSpMQOZJElSYwYySZKkxgxkkiRJjRnIJEmSGjOQSZIkNWYgkyRJasxAJkmS1JiBTJIkqTEDmSRJUmMGMkmSpMYMZJIkSY0ZyCRJkhozkEmSJDW23kCW5NqhtEmSJGnDTF5bR5IpwNbADkm2A9J1PQ544ijUJkmSNCGsNZABrwXeQi98zeehQHYfcO7IliVJkjRxrDWQVdXZwNlJ3lhVHxvFmiRJkiaUdc2QAVBVH0tyCDCjf/+q+uwI1iVJkjRhrDeQJfkc8FTgZuDBrrkAA5kkSdIwWG8gA2YBe1VVjXQxkiRJE9FQPodsAfAHI12IJEnSRDWUGbIdgB8k+Tbw29WNVXX0iFUlSZI0gQwlkJ0x0kVIkiRNZEN5l+XXRqMQSZKkiWoo77L8Fb13VQJsAWwO3F9VjxvJwiRJkiaKocyQbdO/neRY4MCRKkiSJGmiGcq7LB+mqv4NOGxjTprk8UkuS3JrkoVJDk7yhCTXJFnU/dxuY84hSZI0XgxlyfK4vs3N6H0u2cZ+JtnZwH9V1Z8m2YLel5i/G7i2qs5KchpwGvDOjTyPJEnSmDeUd1m+pO/5KmAxcMyGnjDJ44BnAycBVNXvgN8lOQY4tNvtAmAOBjJJkjQBDOUeslcP8zmfAiwFPpPkGcB84M3ATlV1Z3fOO5PsONjBSU4BTgF48pOfPMylSZIkjb713kOWZHqSy5PcneSuJF9IMn0jzjkZ+CPg41W1H3A/veXJIamq86pqVlXNmjp16kaUIUmSNDYM5ab+zwBXAE8EpgH/3rVtqCXAkqr6Vrd9Gb2AdleSnQG6n3dvxDkkSZLGjaEEsqlV9ZmqWtU9zgc2eGqqqn4O3JFk967pcOAH9ELf7K5tNvClDT2HJEnSeDKUm/rvSXIicFG3fQKwbCPP+0bgwu4dlj8GXk0vHF6a5DXA7cDLN/IckiRJ48JQAtnJwD8Af0fv4y5u6No2WFXdTO/jMwY6fGPGlSRJGo+G8i7L24GjR6EWSZKkCWkoHwy7K70lxhn9+1eVIU2SJGkYDGXJ8t+Af6b37srfj2g1kiRJE9BQAtmKqjpnxCuRJEmaoIYSyM5O8j7gauC3qxur6jsjVpUkSdIEMpRAtjfwKuAwHlqyrG5bkiRJG2kogeylwFO6LwGXJEnSMBvKJ/V/F3j8CNchSZI0YQ1lhmwn4NYkN/LQPWRVVceMXFmSJEkTx1AC2fv6ngf4Y3pfnyRJkqRhsN4ly6r6GrAceBFwPr2vN/qnkS1LkiRp4ljrDFmSpwHH89CXiV8CpKqeO0q1SZIkTQjrWrK8Ffg68JKqug0gyamjUpUkSdIEsq4ly5cBPwe+muSTSQ6ndw+ZJEmShtFaA1lVXV5VrwD2AOYApwI7Jfl4kuePUn2SJEmbvKHc1H9/VV1YVS8GpgM3A6eNdGGSJEkTxVA+GHaNqrq3qj5RVX5tkiRJ0jB5VIFMkiRJw89AJkmS1JiBTJIkqTEDmSRJUmMGMkmSpMYMZJIkSY0ZyCRJkhozkEmSJDVmIJMkSWrMQCZJktSYgUySJKkxA5kkSVJjBjJJkqTGDGSSJEmNGcgkSZIaM5BJkiQ1ZiCTJElqzEAmSZLUmIFMkiSpMQOZJElSYwYySZKkxgxkkiRJjRnIJEmSGjOQSZIkNWYgkyRJasxAJkmS1JiBTJIkqTEDmSRJUmPNAlmSSUluSvLlbvsJSa5Jsqj7uV2r2iRJkkZTyxmyNwML+7ZPA66tqt2Aa7ttSZKkTV6TQJZkOvAi4FN9zccAF3TPLwCOHeWyJEmSmmg1Q/b3wDuA3/e17VRVdwJ0P3dsUJckSdKoG/VAluTFwN1VNX8Djz8lybwk85YuXTrM1UmSJI2+FjNkzwKOTrIYuBg4LMnngbuS7AzQ/bx7sIOr6ryqmlVVs6ZOnTpaNUuSJI2YUQ9kVfWuqppeVTOA44H/rqoTgSuA2d1us4EvjXZtkiRJLYylzyE7CzgiySLgiG5bkiRpkze55cmrag4wp3u+DDi8ZT2SJEktjKUZMkmSpAnJQCZJktSYgUySJKkxA5kkSVJjBjJJkqTGDGSSJEmNGcgkSZIaM5BJkiQ1ZiCTJElqzEAmSZLUmIFMkiSpMQOZJElSYwYySZKkxgxkkiRJjRnIJEmSGjOQSZIkNWYgkyRJasxAJkmS1JiBTJIkqTEDmSRJUmMGMkmSpMYMZJIkSY0ZyCRJkhozkEmSJDVmIJMkSWrMQCZJktSYgUySJKkxA5kkSVJjBjJJkqTGDGSSJEmNGcgkSZIaM5BJkiQ1ZiCTJElqzEAmSZLUmIFMkiSpMQOZJElSYwYySZKkxgxkkiRJjU1uXYCG34zTrmxdwpi0eErrCiRJGpwzZJIkSY0ZyCRJkhozkEmSJDVmIJMkSWrMQCZJktSYgUySJKkxA5kkSVJjox7IkjwpyVeTLEzy/SRv7tqfkOSaJIu6n9uNdm2SJEkttJghWwW8tar2BA4CXp9kL+A04Nqq2g24ttuWJEna5I16IKuqO6vqO93zXwELgWnAMcAF3W4XAMeOdm2SJEktNL2HLMkMYD/gW8BOVXUn9EIbsONajjklybwk85YuXTpqtUqSJI2UZoEsyWOBLwBvqar7hnpcVZ1XVbOqatbUqVNHrkBJkqRR0iSQJdmcXhi7sKq+2DXflWTnrn9n4O4WtUmSJI22Fu+yDPDPwMKq+mhf1xXA7O75bOBLo12bJElSC5MbnPNZwKuA7yW5uWt7N3AWcGmS1wC3Ay9vUJskSdKoG/VAVlXXA1lL9+GjWYskSdJY4Cf1S5IkNWYgkyRJasxAJkmS1JiBTJIkqTEDmSRJUmMGMkmSpMYMZJIkSY0ZyCRJkhozkEmSJDVmIJMkSWrMQCZJktSYgUySJKkxA5kkSVJjBjJJkqTGDGSSJEmNGcgkSZIaM5BJkiQ1ZiCTJElqzEAmSZLUmIFMkiSpMQOZJElSYwYySZKkxgxkkiRJjRnIJEmSGjOQSZIkNWYgkyRJasxAJkmS1JiBTJIkqTEDmSRJUmMGMkmSpMYMZJIkSY0ZyCRJkhozkEmSJDVmIJMkSWrMQCZJktSYgUySJKkxA5kkSVJjBjJJkqTGDGSSJEmNGcgkSZIaM5BJkiQ1ZiCTJElqzEAmSZLUmIFMkiSpMQOZJElSY2MukCU5KskPk9yW5LTW9UiSJI20MRXIkkwCzgVeAOwFnJBkr7ZVSZIkjawxFciAA4HbqurHVfU74GLgmMY1SZIkjaixFsimAXf0bS/p2iRJkjZZk1sXMEAGaauH7ZCcApzSbf46yQ9HvCptEgI7APe0rmPMef9g/9lJGir/blkL/24ZzC5r6xhrgWwJ8KS+7enAz/p3qKrzgPNGsyhtGpLMq6pZreuQtGnx7xYNh7G2ZHkjsFuSXZNsARwPXNG4JkmSpBE1pmbIqmpVkjcAVwGTgE9X1fcblyVJkjSixlQgA6iq/wD+o3Ud2iS51C1pJPh3izZaqmr9e0mSJGnEjLV7yCRJkiYcA5k2eX4dl6SRkOTTSe5OsqB1LRr/DGTapPl1XJJG0PnAUa2L0KbBQKZNnV/HJWlEVNV1wL2t69CmwUCmTZ1fxyVJGvMMZNrUrffruCRJas1Apk3der+OS5Kk1gxk2tT5dVySpDHPQKZNWlWtAlZ/HddC4FK/jkvScEhyETAX2D3JkiSvaV2Txi8/qV+SJKkxZ8gkSZIaM5BJkiQ1ZiCTJElqzEAmSZLUmIFMkiSpMQOZNAElOSrJD5PcluS0YRqzknykb/ttSc54FMeflGRpkpuSLEpyVZJD+vo/kOR5w1HrSEny7CTfSbIqyZ8O05hnJPlpkpu76/LFJHv19X+qf1vS+GQgkyaYJJOAc4EXAHsBJwzTP+i/BY5LssNGjHFJVe1XVbsBZwFfTLInQFW9t6q+Mgx1jqTbgZOAfxnmcf+uqvbtrsslwH8nmQpQVX9ZVT8Y5vNJGmUGMmniORC4rap+XFW/Ay4GjhmGcVcB5wGnDuxIskuSa5Pc0v188voGq6qvduOd0o1x/upZpyRnJflBN96Hu7apSb6Q5Mbu8ayu/cAkN3Qzbzck2b1rn5nk293M0y1JduvaT+xr/0QXYIekqhZX1S3A74d6zKNVVZcAVwN/DpBkTpJZSSZ112hBku8lObXrf2qS/0oyP8nXk+zRtb8kybe66/KVJDt17c/pXvvNXd82Xfvbu+t6S5L3j9Trkyaqya0LkDTqpgF39G0vAZ45cKckrwTePsjxt1XV2pbjzgVuSfJ/B7T/A/DZqrogycnAOcCxQ6j1O8BrB9T1BOClwB5VVUke33WdTW8m6fou8F0F7AncCjy7qlZ1S55/A7wMeB1wdlVd2H2t1qRuNu4VwLOqamWSfwReCXx2CLUOWZKvA9sM0vW2Ic4CfgfYY0DbvsC0qnp6d47Hd+3nAa+rqkVJngn8I3AYcD1wUHcN/xJ4B/BW4G3A66vqG0keC6xI8nxgN3phPsAVSZ5dVdcN+UVLWicDmTTxZJC2R3xlR1VdCFz4aAauqvuSfBZ4E/BAX9fBwHHd888BAwPb2gxW633ACuBTSa4Evty1Pw/YK1lzyOO62Z1tgQu6GbACNu/65wJ/nWQ68MUusBwO7A/c2I2zFXD3EGsdsqr6k40cYrDr8mPgKUk+BlwJXN0FqkOAf+27Llt2P6cDlyTZGdgC+EnX/g3go0kupHddlnSB7PnATd0+j6UX0Axk0jAxkEkTzxLgSX3b04GfDdxpA2fIAP6e3gzOZ9axz1C/s20/et9B+tCBvZmuA4HD6X1Z/BvozfhsBhxcVf1BkC6gfLWqXppkBjCnG+dfknwLeBFwVTdLFOCCqnrXEOvbIMMwQ7YfMK+/oap+keQZwJHA64E/A94C/LKq9h1kjI8BH62qK5IcCpzRjXNWF3RfCHyzm1UMcGZVfWIItUnaAN5DJk08NwK7Jdm1W6o7Hrhi4E5VdWF3I/nAxzrfPVhV9wKXAv1ftHxDdx7oLQFev74ikzyH3v1jnxzQ/lhg26r6D3qBY9+u62p64Wz1fqvbtwV+2j0/qa//KcCPq+oceq9/H+Ba4E+T7Njt84QkuwxS25lJXrq+17A2VfUna7m26w1jSV5Gb7bqogHtOwCbVdUXgNOBP6qq+4CfJHl5t0+60AYPvy6z+8Z5alV9r6r+ll7o24Pe8u/J3bUnybTV10jS8DCQSRNMVa2iF1yuojf7dGlVfX+YT/MRoP/dlm8CXp3kFuBVwJvXctwrupvJfwS8G3hZVS0csM82wJe7sb7GQ28ieBMwq7vp/Af07hGD3vLomUm+AfTfoP8KYEGSm+mFjs9271Z8D73lvluAa4CdB6lzb+DnAxuTHJBkCfBy4BNJhuu6ntpdl0XAicBhVbV0wD7TgDnd6zkfWD3L90rgNUm+C3yfh97AcQa9pcyvA/f0jfOW7o0B36W37PyfVXU1vXeOzk3yPeAyBp/hk7SBUjXUlQNJEkCSq6rqyNZ1SNp0GMgkSZIac8lSkiSpMQOZJElSYwYySZKkxgxkkiRJjRnIJEmSGjOQSZIkNWYgkyRJauz/AzgbsKbR9RxjAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create a plot for crosstab\n",
    "\n",
    "pd.crosstab(df['target'],df['sex']).plot(kind=\"bar\",figsize=(10,6));\n",
    "plt.title(\"Heart Disease Frequency vs Sex\")\n",
    "plt.xlabel(\"0 = No Disease , 1 = Disease\")\n",
    "plt.ylabel(\"Amount\")\n",
    "plt.legend([\"Female\",\"Male\"])\n",
    "plt.xticks(rotation=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "6c6469c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'plot on Relation Between Maximum heart rate and chest pain types with respect to gender')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot on Relation Between Maximum heart rate and chest pain types with respect to gender\n",
    "sns.violinplot(x=\"sex\", y=\"thalach\",hue=\"cp\", data=df,\n",
    "               cmap =[\"bupy\"]);\n",
    "plt.xlabel('gender')\n",
    "plt.ylabel('maximum heart rate')\n",
    "plt.title(\"plot on Relation Between Maximum heart rate and chest pain types with respect to gender\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "797068a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Plot on Relation Between Maximum heart rate and chest pain types with respect to gender\n",
    "#The Violen plots of the gender male have higher median and quatile region compared to females and the chest pain type 1 which is atypical angina is higher with respect to the maximum heart rate in both the gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c3c8cef9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(1.0, 1.0, 'Relation Between resting electrocardiogram rate and thal(haemoglobin defective types) with respect to gender')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot on Relation Between resting electrocardiogram rate and thal(haemoglobin defective types) with respect to gender\n",
    "grid = sns.FacetGrid(df, row=\"sex\", col=\"thal\", margin_titles=True)\n",
    "grid.map(plt.hist, \"restecg\", bins=np.linspace(0, 40, 15),color = \"Purple\");\n",
    "plt.xlabel('restecg')\n",
    "plt.ylabel('thal(haemoglobin defective) types')\n",
    "plt.title(label=\"Relation Between resting electrocardiogram rate and thal(haemoglobin defective types) with respect to gender\",loc ='right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "a4d5ae3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Interpretation\n",
    "#The histogram plots of the resting ectrocardiogram rate and heamoglobin lowering defect with respect to gender shows that both the gender have same restecg , but the haemoglobin lowering defect type 2 is greater in males whereas the haemoglobin lowering reverse effect type 3 is greater in males and lesser in females , therefore it is tough for females to get back the haemoglobin content if there is a loss on the other hand it is easier for men to get back there haemoglobin conten"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "fbc7c7f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Check the distribution of the age column with a histogram\n",
    "\n",
    "df['age'].plot(kind='hist');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a456ecd2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "162    11\n",
       "160     9\n",
       "163     9\n",
       "152     8\n",
       "173     8\n",
       "       ..\n",
       "202     1\n",
       "184     1\n",
       "121     1\n",
       "192     1\n",
       "90      1\n",
       "Name: thalach, Length: 91, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['thalach'].value_counts()\n",
    "\n",
    "#Here Length denotes how many different types of categories are there"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "58b91998",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1b5d1f86ac0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "\n",
    "#Target is equal to 1\n",
    "plt.scatter(x = df[df['target']==1]['age'], y = df.thalach[df.target==1])\n",
    "\n",
    "#Target is equal to 0\n",
    "plt.scatter(x = df[df['target']==0]['age'], y = df.thalach[df.target==0],);\n",
    "\n",
    "#Adding some helpful information\n",
    "plt.title(\"Heart disease in function of Age and Max Heart Rate\")\n",
    "plt.xlabel(\"Age\")\n",
    "plt.ylabel(\"Max. Heart Rate\")\n",
    "plt.legend([\"Disease\",\"No Disease\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "df0fcd1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>target</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>104</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "target    0   1\n",
       "cp             \n",
       "0       104  39\n",
       "1         9  41\n",
       "2        18  69\n",
       "3         7  16"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Relation of Heart Disease with Chest Pain Type\n",
    "\n",
    "pd.crosstab(df['cp'],df['target'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "6dcfa419",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make the crosstab more visual\n",
    "\n",
    "pd.crosstab(df['cp'],df['target']).plot(kind='bar')\n",
    "plt.title(\"Heart Disease Frequency per Chest Pain Type\")\n",
    "plt.xlabel(\"Chest Pain types\")\n",
    "plt.ylabel(\"Amount\")\n",
    "plt.legend(['No disease','Disease'])\n",
    "plt.xticks(rotation=0);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "9b3f90d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Density'>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9CSwEvge8e9CwID82s61eFScymHOOrZVNXDFvmt+lXJCCzFTyM1N0Sq5ErfFeOf6toTdMMrMU51yXc261B3WJvEVN01nq27qiun9jwOLiLDVVSdQab1PVvw4z7aXJLERkLAMX/q2KgeAoL8qi4nQ753r6/C5FZMJGPeIws+kEb6w0xcxW8sb9M7KANI9rE3mTrcebSE8OsHB6lt+lXLDFxdn09jsO17WzdEb0Xcgo8W2spqp3EOwQnwF8cdD0NuCzHtUkMqxtlU2snDmVQEL0Dw74Rgd5i4JDos6oweGcewR4xMze55x7Ikw1ibxFe1cvr51q5e5ry/wuZVLMzE0jIyVRZ1ZJVBqrqepW59z3gdlm9umh851zXxxmNZFJt6u6mX4Hq2bm+F3KpEhIMMqLsnRmlUSlsTrH00PPGUDmMA+RsNgR6hhfWRr9HeMDFpdkcaC2jd6+fr9LEZmQsZqqvhl6/pfwlCMyvO1VzVxUkEF2WuwMVLBy5lS+88JxXjvVxpIS9XNI9BjvIIefN7MsM0sys81m1mBmt3pdnAgEL/zbUdXEytIcv0uZVAPNbgOnGYtEi/Fex3GDc64VeBdQA8wH/sGzqkQGqWzspKmzJyau3xisJGcKhVkpbKtUcEh0GW9wDLQP3Aj8yDl3xqN6RN5i4H/kK2OkY3yAmXHxrKk64pCoM97g+LmZvQasBjabWT5wzruyRN6wo6qZjJREygpi73yMVTOnUn3mLKdb9ddJosd4h1W/B7gMWO2c6wE6gA1eFiYyYHtVE8tLs2Piwr+hBprfdNQh0WQid/RbBHzQzG4D3g/c4E1JIm/o7O7ltVNtUX3/jdEsLs4iOTGB7VXNfpciMm7jHVb9e8A8YCcwMCqbAx71piyRoN01LfT1u5jr3xiQkhhgWUm2Osglqox3WPXVQLlzznlZjMhQO0L/E4+lC/+GWjVrKt994ThdvX2kJAb8LkdkTONtqtoLTPeyEJHhbK9qYm5eOlPTk/0uxTOXzM6lu6+fXdUafkSiw3iPOPKA/Wb2KtA1MNE59x5PqhJh4MK/Zq6an+d3KZ5aMzsXM3j5aCNr5uT6XY7ImMYbHPd6WYTIcGpbztHQ3sWKGLtifKjstCTKi7J4+Wgjf3ddbIz+K7FtvKfj/gE4DiSFXm8BtntYlwi7a4JNN8tm5PhbSBisnTuNbZVNdPXqjoAS+cY7VtXfAD8BvhmaVAL8zKOaRADYc6KZxARj4fTYu/BvqLVzp9HVq34OiQ7j7Ry/C7gCaAVwzh0GCrwqSgSCRxzzCzNJTYr9M40G93OIRLrxBkeXc6574I2ZJRK8jkPEE8459p5oYVmc3FZ1cD+HSKQbb3D8wcw+C0wxs+uB/wJ+7l1ZEu9qms7S1NkTV/fjVj+HRIvxBsc9QD2wB/gY8DTwv8ZayczWmdlBM6sws3uGmW9m9pXQ/N1mtmrQvIfN7LSZ7R2yTq6ZPWdmh0PPsXtlWBzbcyLY1r80jm5wNNDPsVPDj0iEG+9ZVf0EO8M/4Zx7v3PuobGuIjezAPB1YD1QDtxiZuVDFlsPlIUeG4H7B837LrBumE3fA2x2zpUBm0PvJcbsrmkhKWAsiIOO8QED/RwvqblKItyowRE6IrjXzBqA14CDZlZvZv97HNteA1Q4546G+kce460j6m4AHnVBLwM5ZlYE4Jx7Hhjuvh8bgEdCrx8B3juOWiTK7DnRzMLpWXE1BEd2WhLLSrL50+EGv0sRGdVYRxyfIng21SXOuWnOuVzgUuAKM/v7MdYtAaoHva8JTZvoMkMVOudqAULPw57dZWYbzWyrmW2tr68fY5MSSZxz7Klpiav+jQFXzc9nR3Uzred6/C5FZERjBcdtwC3OuWMDE5xzR4FbQ/NGM9zNE4Y2b41nmfPinHvQObfaObc6Pz9/MjYpYVJ1ppPWc71x1b8x4MqyfPr6HS9WqLlKItdYwZHknHvLcbNzrp43bic7khqgdND7GcDJ81hmqLqB5qzQ8+kxlpcoM3DFeDwGx8qZOaQnB/jjYR0lS+QaKzi6z3MeBIclKTOzOWaWDNwMbBqyzCbgtlBfylqgZaAZahSbgNtDr28HnhpjeYkye060kJyYwPzC+OkYH5AUSOCyeXn8Uf0cEsHGCo7lZtY6zKMNWDrais65XuBu4FngAPC4c26fmd1pZneGFnsaOApUAA8BnxhY38x+BLwELDCzGjP7SGjWfcD1ZnYYuD70XmLInpoWFk3PJDlxIjeojB1Xz8+j6kwnxxs6/C5FZFijjo7rnLugU1qcc08TDIfB0x4Y9NoRHM5kuHVvGWF6I3DdhdQlkau/P3jF+IaVxX6X4psry4J9cn88XM/svHSfqxF5q/j8L51ErOONHbR19bKsJMfvUnwza1oapblTeF7NVRKhFBwSUV6/YjwOT8UdYGZcWZbPS0ca6enr97sckbdQcEhE2V3TQkpiAmUFGX6X4quryvJp7+ple2WT36WIvIWCQyLKnhMtlBdnkRiI75/mFRdNIylg/PagzjaXyBPffzslovT1O/adaGFZHF6/MVRmahKXzpnGbw8oOCTyKDgkYhxraKeju48lCg4Arl1YwOHT7VQ1dvpdisibKDgkYrx+xXgcd4wPdt2i4DBsv32tzudKRN5MwSERY8+JFqYkBbgoP747xgfMmpbOvPx0Nr+m5iqJLAoOiRh7atQxPtR1iwp55egZ2rt6/S5F5HX6GyoRoa/fse9ka1wObDiaaxcW0N3Xr3t0SERRcEhEOFLfztmePgXHEBfPmkpWaqL6OSSiKDgkIgx0jC9Tx/ibJAUSuHpBAb997TR9/ZNyqxqRC6bgkIiw90QLackB5qpj/C3+bFEBDe3dbK/SVeQSGRQcEhF21zSzuDiLQMJwN4WMb9cuLCA5kMAze0/5XYoIoOCQCNDb18/+2laWxvGIuKPJTE3iyrI8ntl7iuCdCET8peAQ31XUt3Oup5+lM7L8LiVirVsynRPNZ18fPVjETwoO8d0b9xjP8beQCHZ9eSGJCcav1FwlEUDBIb7be6KF9OQAc3W3uxHlpCVz2bxpaq6SiKDgEN/trmlhcUk2CeoYH9W6JdM51tDBwbo2v0uROKfgEF/19PVzoLZVQ6mPww3l00kw+OXuWr9LkTin4BBfHa5rp6u3XyPijkN+ZgpXXJTHUztPqrlKfKXgEF/trmkGYNmMHF/riBbvXVFC1ZlOtlc1+12KxDEFh/hqR1UzOWlJzJ6W5ncpUeEdS6aTmpTAz3ac8LsUiWMKDvHVjuomVpbmYKaO8fHISEnk+vLp/GL3SXr6+v0uR+KUgkN803quh8On21k5c6rfpUSV964opqmzh+cP1ftdisQpBYf4Znd1C87Bypk5fpcSVa6an09uejI/2VbjdykSpxQc4psdVU2YwfLSHL9LiSpJgQTet6qE5/bXUd/W5Xc5EocUHOKb7VVNXJSfQVZqkt+lRJ2b18ykt9/pqEN8oeAQXzjn2FHdrGaq8zQvP4M1c3J5bEsV/brBk4SZgkN8cbyxk+bOHnWMX4C/XDOTysZOXj7a6HcpEmcUHOKLHaG72a1ScJy3dUumkz0liR+8UuV3KRJnFBziiy3Hm8hMTeSiAt0q9nylJgW4+ZJSntl3ipqmTr/LkTjiaXCY2TozO2hmFWZ2zzDzzcy+Epq/28xWjbWumd1rZifMbGfocaOX30G88cqxRi6ZnatbxV6g2y+fDcAjLx73tQ6JL54Fh5kFgK8D64Fy4BYzKx+y2HqgLPTYCNw/znW/5JxbEXo87dV3EG/Ut3VxtL6DNXNy/S4l6hXnTOHGpUU89mo1bed6/C5H4oSXRxxrgArn3FHnXDfwGLBhyDIbgEdd0MtAjpkVjXNdiVKvHjsDwKUKjknxkbfNoa2rl8e36tRcCQ8vg6MEqB70viY0bTzLjLXu3aGmrYfNbNjeVTPbaGZbzWxrfb2GZogkrx5rJC05wBLdg2NSrCjN4ZLZU/nOC8fo1fhVEgZeBsdwjddDTzgfaZnR1r0fmAesAGqBLwz34c65B51zq51zq/Pz88dVsITHK8fOcPGsqSQFdG7GZPnolXOpaTrLL3STJwkDL//m1gClg97PAE6Oc5kR13XO1Tnn+pxz/cBDBJu1JEo0d3bz2qk21sxWM9Vkun5RIQsKM/nqbw/TpwsCxWNeBscWoMzM5phZMnAzsGnIMpuA20JnV60FWpxztaOtG+oDGXATsNfD7yCT7JVQ/4Y6xidXQoLxd9eVcaS+g1/u0VGHeCvRqw0753rN7G7gWSAAPOyc22dmd4bmPwA8DdwIVACdwB2jrRva9OfNbAXBpqvjwMe8+g4y+Z4/VE96ckBXjHtg/ZLplBVk8NXNh3nX0iISdKqzeMSz4AAInSr79JBpDwx67YC7xrtuaPqHJ7lMCaM/Hm7gsnnTSE5U/8ZkS0gw/va6Mv7uRzt4em8t71pW7HdJEqP0t1fC5nhDB1VnOrlqvk5W8Mo7lxZRVpDBF359SHcIFM8oOCRsnj8cPC36qjIFh1cCCcZnblzIsYYOfqgxrMQjCg4Jm+cPNVCaO4VZ09L8LiWmvX1BAZfPm8aXNx+mVVeTiwcUHBIW3b39vHSkgavK8jFTp62XzIzP3riIMx3d3P/7I36XIzFIwSFh8eqxM3R093HNggK/S4kLS0qy+fOVJXz7T8c41tDhdzkSYxQcEhbP7jvFlKQAV5bl+V1K3Lhn/UJSEhP47JN7CJ7AKDI5FBziuf5+x3P767h6fj6pSQG/y4kbBVmpfGb9Il462sh/6d7kMokUHOK53SdaONV6jhsWF/pdSty5+ZJS1szO5d9+eYC61nN+lyMxQsEhnnt23ykCCcZ1CxUc4ZaQYHzufUvp7u3nk4/t0DhWMikUHOIp5xw/33WSy+dNIzstye9y4tK8/Az+73uX8PLRM3xl82G/y5EYoOAQT22rbKKm6Sw3rRx6KxYJp/dfPIP3rZrBlzcf5he7hw5SLTIxno5VJfLTHSdITUrghsXT/S4l7v3bTUuoOtPBp3+8i6lpyVxxkc5wk/OjIw7xTHdvP7/cU8sN5dPJSNH/UfyWmhTgodtWMzsvjTu+u4Xf7K/zuySJUgoO8cxz++to7uzhplVqpooUOWnJ/HjjZSycnsnG723lG7+voF8d5jJBCg7xzA9eqaQkZ4oGNYwwU9OT+eHfrGX90iI+/8xBbnnoZQ7XtfldlkQRBYd44kh9Oy8eaeQvL51JQDcUijgZKYl87ZaVfO7Pl/LaqTbWf/mPfObJPVQ1dvpdmkQBNTyLJ37wchWJCcYHVpeOvbD4wsy4Zc1Mbigv5Eu/OcTjW2p4fGs1Ny4t4qNvm8Py0hy/S5QIpeCQSdfc2c2Pt1TxzmVF5Gem+F2OjGFaRgr/+t6l/O21ZXzrj0d57NVqfr7rJJfMnspH3jaH68un66hR3kRNVTLpvvdSJR3dfXz8mnl+lyITUJiVyv98ZzkvfuZa/uld5dS2nOPO72/nmv/8Hd954RjtXb1+lygRQsEhk+psdx/fefE41y4sYOH0LL/LkfOQmZrER942hz/8w9u5/0OrKMhM5V9+vp/LPreZ77xwjF7dkjbuKThkUj38wjHOdHTzCR1tRL1AgrF+aRFPfPxyfvqJy1lRmsO//Hw/7/naC+w72eJ3eeIjBYdMmqaObh74/RH+bFEBq2fn+l2OTKKVM6fy6F+v4RsfWkVDexc3ff1FHv7TMd3nI04pOGTSfPW3FXR09/KP6xb6XYp4wMy4cWkRz3zqKq4sy+P//GI/n/jBdjq71fcRbxQcMin2nWzhkZeO88FLSplfmOl3OeKh3PRkvnX7aj5740Ke2XeKD3zzJWpbzvpdloSRgkMuWF+/47NP7mFqWhL3rFvkdzkSBmbGxqvm8e3bV3O8oZP3fO0FdlY3+12WhImCQy7YA384wq6aFv7pXeW650acuXZhIU9+4nJSkxL4wDdf4qmdJ/wuScJAwSEXZOvxM3zxuUO8e3kx71le7Hc54oP5hZk8ddfbWFGawycf28l/PntQAyfGOAWHnLeTzWe564fbKcmZwr/ftAQzXV0cr3LTk/n+Ry7l5ktK+drvKrjz+9vo0AWDMUvBIeel5WwPf/3dLXR29fHQbavJTFUTVbxLTkzgc3++lH9+dzm/OVDH+i//kVePnfG7LPGAgkMmrLmzm1u/9QpH6tv5xq2rWDBdZ1FJkJlxxxVzeGzjZQB88MGX+F8/28PptnM+VyaTyeLhAp7Vq1e7rVu3+l1GTDje0MHfPLqVysZO7r91FdctKvS7JIlQHV29fP6Z1/j+K1UkBxJ4/8Uz+OAlpSwuzlKzZpQws23OudVvma7gkPFwzrFp10n+6Wd7SUgwvvGhVVw+T/eslrEda+jgq789zC9219Ld209hVgqXzplGWUEGc/LTyU1PJntKEtlTkshMTSIjJVGj8UYIBYeC47ztO9nC/3v2IL8/WM/y0hy+dstKSnPT/C5LokxLZw+/2lvLnyoa2F7ZxMmWkZuv0pMDZKQmkpGSSEZqElmpiRRlp1I6NY3S3DRm56UzvzCDtGTdGcJLvgSHma0DvgwEgG855+4bMt9C828EOoG/cs5tH21dM8sFfgzMBo4DH3DONY1Wh4Jj4s529/GbA3U8sb2G3x+sJzMlkU/fMJ/bLput/w3KpOjs7qXqTCdNHT20nO2mubOH9q5e2s710t7VS3voua2rl5azPZxoOktDe9fr65vBrNw0Fk7PYmFRJgunZzG/MIOZuWkkBtR9OxlGCg7P4trMAsDXgeuBGmCLmW1yzu0ftNh6oCz0uBS4H7h0jHXvATY75+4zs3tC7/+HV98jlvX29dN6rpfWsz2caj3H8YYOjjV0sK2yiV01zfT0OaZnpfLp6+dz++WzyZ6iM6dk8qQlJ0546P2z3X3UNHVypL6Dg6faeO1UK6+dauPZ/acY+D9wciCBufnpzCvIYF5eOoXZqRRmplKYlcq0jGTSkxOZkhwgOVHhcr68PM5bA1Q4544CmNljwAZgcHBsAB51wcOel80sx8yKCB5NjLTuBuCa0PqPAL/Ho+D4yubDbNp18vURQF8/NnNvenrLfPf6fPfm90MO7sa73nDLMHTbY21zyPS+fkdndx9DJQcSKC/O4q+vmMPVC/K5dM40HWFIxJiSHKCsMJOywkzWLZn++vTO7l4O1bVzuK6Nivp2Kura2XuihV/tqWWkaxGTAkZaciJJASPBgo9AgmEWHFI+wYKvvf71e32iwL/ftJQ1cyZ3tGovg6MEqB70vobgUcVYy5SMsW6hc64WwDlXa2YFw324mW0ENgLMnDnzvL5AQWYKCwYG7LM3Pb3+h/3G+9Hnv7G+jbD88PPf/Hpi6w6tZfD2EszISk0ia0oi2VOSyMtIYU5eOsU5UxQUEnXSkhNZUZrDiiH3Se/t66exo5u61nOcajnHmY5uOrv76OzupaO7j86uXnr6Hc45+vod/Q76+x39ztHnoN/rPuAwdDGnpwQmfZteBsdw//oM3U0jLTOedUflnHsQeBCCfRwTWXfAzWtmcvOa8wsdEfFfYiCBwqxgM9WyGX5XEzu8bOSrAUoHvZ8BnBznMqOtWxdqziL0fHoSaxYRkTF4GRxbgDIzm2NmycDNwKYhy2wCbrOgtUBLqBlqtHU3AbeHXt8OPOXhdxARkSE8a6pyzvWa2d3AswRPqX3YObfPzO4MzX8AeJrgqbgVBE/HvWO0dUObvg943Mw+AlQBf+HVdxARkbfSBYAiIjKska7j0InMIiIyIQoOERGZEAWHiIhMiIJDREQmJC46x82sHqgM40fmAQ1h/Lxoo/0zOu2fkWnfjG6y988s51z+0IlxERzhZmZbhzsTQYK0f0an/TMy7ZvRhWv/qKlKREQmRMEhIiITouDwxoN+FxDhtH9Gp/0zMu2b0YVl/6iPQ0REJkRHHCIiMiEKDhERmRAFxyQws+NmtsfMdprZ1tC0XDN7zswOh56n+l1nOJjZw2Z22sz2Dpo24r4ws8+YWYWZHTSzd/hTdfiMsH/uNbMTod/PTjO7cdC8eNs/pWb2OzM7YGb7zOyToelx/xsaZd+E//fjnNPjAh/AcSBvyLTPA/eEXt8D/IffdYZpX1wFrAL2jrUvgHJgF5ACzAGOAAG/v4MP++de4L8Ps2w87p8iYFXodSZwKLQf4v43NMq+CfvvR0cc3tkAPBJ6/QjwXv9KCR/n3PPAmSGTR9oXG4DHnHNdzrljBO/LsiYcdfplhP0zknjcP7XOue2h123AAaAE/YZG2zcj8WzfKDgmhwN+bWbbzGxjaFqhC97NkNBzgW/V+W+kfVECVA9arobR/yLEsrvNbHeoKWugGSau94+ZzQZWAq+g39CbDNk3EObfj4JjclzhnFsFrAfuMrOr/C4oStgw0+Lx/PD7gXnACqAW+EJoetzuHzPLAJ4APuWcax1t0WGmxfQ+GmbfhP33o+CYBM65k6Hn08BPCR4O1plZEUDo+bR/FfpupH1RA5QOWm4GcDLMtfnOOVfnnOtzzvUDD/FGc0Jc7h8zSyL4D+MPnHNPhibrN8Tw+8aP34+C4wKZWbqZZQ68Bm4A9gKbgNtDi90OPOVPhRFhpH2xCbjZzFLMbA5QBrzqQ32+GvgHMeQmgr8fiMP9Y2YGfBs44Jz74qBZcf8bGmnf+PH7SZyMjcS5QuCnwT9TEoEfOueeMbMtwONm9hGgCvgLH2sMGzP7EXANkGdmNcA/A/cxzL5wzu0zs8eB/UAvcJdzrs+XwsNkhP1zjZmtINiMcBz4GMTn/gGuAD4M7DGznaFpn0W/IRh539wS7t+PhhwREZEJUVOViIhMiIJDREQmRMEhIiITouAQEZEJUXCIiMiEKDhERGRCFBwiIjIh/x+4kdzNG/atWAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['trestbps'].plot(kind='kde')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "5a318a1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Relation Between resting chest pain types and Blood Pressure Rate with respect to gender')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 402.375x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot on Relation Between resting chest pain types and Blood Pressure Rate with respect to gender\n",
    "sns.catplot(x=\"cp\", y=\"trestbps\",hue=\"sex\",kind =\"swarm\" ,data=df,palette=\"Dark2\")\n",
    "plt.xlabel('chest pain types')\n",
    "plt.ylabel('Blood Pressure Rate')\n",
    "plt.title(label=\"Relation Between resting chest pain types and Blood Pressure Rate with respect to gender\",loc ='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "fae3c48d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    258\n",
       "1     45\n",
       "Name: fbs, dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['fbs'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "4ef80730",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>fbs</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>116</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>142</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "fbs       0   1\n",
       "target         \n",
       "0       116  22\n",
       "1       142  23"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Compare Target column i.e. Heart Disease with Fasting Blood Sugar Column\n",
    "\n",
    "pd.crosstab(df['target'],df['fbs'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "bb317576",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1]), [Text(0, 0, '0'), Text(1, 0, '1')])"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create a plot for crosstab\n",
    "\n",
    "pd.crosstab(df['target'],df['fbs']).plot(kind=\"bar\",figsize=(10,6));\n",
    "plt.title(\"Heart Disease Frequency vs Fasting Blood Sugar\")\n",
    "plt.xlabel(\"0 = No Disease , 1 = Disease\")\n",
    "plt.ylabel(\"Amount\")\n",
    "plt.legend([\"True\",\"False\"])\n",
    "plt.xticks(rotation=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "f858d184",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Relation Between heart rate slope and cholestrol level with respect to gender')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 402.375x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot on Relation Between heart rate slope and cholestrol level with respect to gender\n",
    "sns.catplot(x=\"slope\", y=\"chol\",hue=\"sex\",kind=\"boxen\", data=df)\n",
    "plt.xlabel('slope(slope of heart rate)')\n",
    "plt.ylabel('cholestrol')\n",
    "plt.title(label=\"Relation Between heart rate slope and cholestrol level with respect to gender\",loc ='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "fde5d718",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    152\n",
       "0    147\n",
       "2      4\n",
       "Name: restecg, dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['restecg'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "4796a9fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>restecg</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>79</td>\n",
       "      <td>56</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>68</td>\n",
       "      <td>96</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "restecg   0   1  2\n",
       "target            \n",
       "0        79  56  3\n",
       "1        68  96  1"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(df['target'],df['restecg'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "22f1a4c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2    166\n",
       "3    117\n",
       "1     18\n",
       "0      2\n",
       "Name: thal, dtype: int64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['thal'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "018c5a97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>thal</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>36</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>130</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "thal    0   1    2   3\n",
       "target                \n",
       "0       1  12   36  89\n",
       "1       1   6  130  28"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(df['target'],df['thal'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "8c6627f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make the crosstab more visual\n",
    "\n",
    "pd.crosstab(df['thal'],df['target']).plot(kind='bar')\n",
    "plt.title(\"Heart Disease Frequency per Thalassemia_Types\")\n",
    "plt.xlabel(\"Thalassemia Types\")\n",
    "plt.ylabel(\"Amount\")\n",
    "plt.legend(['No disease','Disease'])\n",
    "plt.xticks(rotation=0);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "77c9952a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Chest Pain type with respect to age and sex')"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WiYVS6gLwbeA80Az0KKVeBMqVUs3mNs3AjJH2F5FPi8guEdnV1tZmlZkai+no6CAUClFaUGC3KWlFW1sbJdP0OYuVSPLFxsZGmy3JPKwchpqO0YuYDVQBeSLy0Ynur5T6kVJqtVJqdVlZmVVmaiwmksJ9RkGRvYakEX6/n47OTsp0byxuIvXLNYnDymGoDcAZpVSbUioAPAlcD7SISCWA+dpqoQ0am2lubgagvLDIXkPSiEhPukz3xuJGi0XisVIszgNrRSRXDP+/24AjwDPAQ+Y2DwFPW2iDxmaam5txiEN7Q8XAOwKrHQXjRdcCSTxWzlnsAB4H9gAHzLZ+BHwTuF1ETgC3m5/TmmAwaLcJKUtzczNlhYW4nE7a+3pB6eqC46F7Y5NHVxlMPC4rD66U+jLw5WGLfRi9jIwhEAjgcll6KtOWpqYmKsz5ijOtLSBw8OBBampq7DUshblw4QJZbo+OeJ8EA/1aLBKNDqlNAH6/324TUhKlFM1NTZeekB1mNLIeTx6bxsZGqqYX6+jtSdA/oAtHJRotFnESnbtHi8XI9Pb2MjA4SEWRMfbudBiXmxaLsWk4f56qIj1foUkttFjEyfHjxy+919GiI9PU1ARwSSxcTiegxWIsBgcHaW1ro7bEcBdXShEOh222Kj3x+Xx2m5BRaLGIk+gLUYvFyFy4cAGASlMsIsNQQ7oC3KicO3cOgNqSUgB8fj/PPfec7r3GgS4glVi0WMRJtFjoH/LINDU14RC5IiBPuzWOzpkzZwCYafYswihCoZAuhhQHuiZIYtFiESfRQym6uzsyTU1NlBYUXhp+iqDdGkfn1KlT5GVnX5F4UYtF7OiaIIlFi0WcvPHGG5fe62Gokblw4QIVI8QKaLEYnVOnTlFXOuMKTygtFrETqQmiSQxaLOIkOrmh7llciVKKpgsXqCwqvmJdf1+fDRalPoFAgNOnTzN3RsUV6zo7O22wKH3w+/0cOXLkklMF6HOWaHQkWZxEe6joOYsr6enpYXBoaMQo5L5eLRYjcebMGQKBAPPKK69Y197eboNF6cOjjz7Kb3/728uW6WzViUX3LOIkFApdeq97FlcSSVlRMUK8QF+/FouROHLkCADzKqouLROM4SgtFmOzbetW5pVXsqy2DoC8cBYtLS02W5VZaLGIEy0WYzNWfiOvz6fzaY3AoUOHKC0opNSsY/HIay+jUAD6xjcGjY2NnG9o4MYFi5luFowqCGfR0qxzkCUSLRZxEn2z03EDV9Lc3IyM4DYbQfvAX45SikMHD7KgsvrSsnNt72Tvb2q8YIdZacErr7yCiHDtvAWXlhWGc2htb7vsoU4zObRYxEkoSix03MCVNDc3U5w/Dc8oCRa1W+PlNDY20tnVxaKq2hHXt7S1aq+7EQiFQrz80kssq62jOCoNflEoh1AopOctEogWiziJ7lloV9AraW5uHrPutg6Yupx9+/YBXBpzjyYn7CYcDl/m6aMx2L59O23t7WxYuuKy5UXhXECXV00kWiziwOfzmSPJBlosrqTl4kVmFI4uFtoH/nL27NlDaUHhiHM8xWEjVfnZs2eTa1SKo5Ti8d//nrKCQlbPqb9sXbEpFg0NDXaYlpFosYiD4Tc6Pf5+OZdqSBdosZgIgUCAvW+/zYqZs0dMS14cysWBcPr0aRusS13efvttjh47xn0rr72U0ThCTthNjng4f/68TdZlHlos4mD4OGiPHn+/jNZWY2J2xihikYVbjyVHcejQIYa8XlbUzRlxvRMHJeF8Tpw4kWTLUpdwOMzPf/5zSqcVcMviZSNuUxLI5YwW2IShxSIOIjfDCF2devw9mogQlI4yZzEtnKXjBqLYvn07bqdrxPmKCOWBfI4fPYZSatRtphKbNm3i5MmTfHDtTbhHcaIoDeVz9uxZ7RGVILRYxMHwGtJd3d265kAUETEtM+MFhjMtlEXrRR03AMa4+5vbtrGsto5sj2fU7SpDhQwMDeoxeKCvr4+f/fSn1FdUcePCJaNuVxbKx+f3a8eABKHFIg6ampoujZHmh7MIhUPauyeKtrY2BLnMlRGgqcvI1TMtnMXFlhb9lIyROLC1rY01c+vH3K4qaPTSDh48mAyzUpof/ehH9Pb18alb7rhUI2UkyoPG9aeH7xKDFos4aGxsxONyA1AYzgau7G1MZdrb2ynMy7siNbk3YOTQKgjn4PP7dCZV4LXXXsPpcLBmzvwxtysK55BHFgcOHEiSZanJ9u3befnll7l/5bXMKisfc9vicC5unJdVtdTEjxaLGAmHwzQ2NJBljpMWhHOAd9JbaAyxKBnWq4hGC6yBUorXXnuNZbV1TMvJGXNbQajxF7L37b1TtkfW2dnJd7/7XerKZvC+a64fd3sHDsqD0zh86HASrMt8tFjESEtLC16fjyy32bMIZePAoceSo2hvb6fYzNEzEoVaYAE4fPgwLS0tXD9/8YS2nxksprun+1Lp1alEKBTiX775TXxDQ/z1ne8edVJ7OJXBAk6fPqXrvicALRYxEvF1zzKHoRw4mK5yp+QPeDQ62tuvmK+IpjCkxQKMnEZZbjfXzh17CCrCzICRwXfXrl1WmpWSPPLII+w/cIC/WH8HNcWlE96vKlhEKBzm6NGjFlo3NdBiESMnTpzA6XCQbfYsAEoDeZw8rifRwAjI6x8YoCgvb9RtXDgoIIcLF6Zucjyfz8eWLVtYM6d+TC+oaKapbEpVPjt37rTYutRi8+bNPP7449y+7GpuXrQ0pn2rgoUIwv79+y2ybuqgxSJGjh49Sm1p2WWRtuWhaXR0derKXLyT82l67ujDUABFgWwazk/dobtt27YxMDDALYuXx7TfLF8xhw4epL+/3yLLUotjx47x3e98h4VVNXxi3W0x75+Fixnhaezbuzfxxk0xtFjEQDAY5OjRoyyoqL5seYXpohcpXjOViQjmWD0LMBK9NTY2TtnJ2hdeeIEZhUUsrpkZ035zAqWEwuEpMRTV0tLCV7/yFYpy8/i7e95zhXfdRJnpL+LosWM6h9sk0WIRA6dOncLn87Goquay5TNCBbjEOeXdGuGdnkVh7thiURzKZcg7NCV7Y42Njezfv59bFi8bM05gJCpDBeSRxbZt2yyyLjXo7+/ny//4j/iGvPz9ve+jIDc37mPNDBYTDof1UNQk0WIRA3v27AG44mnQhYPKQAH79u6zw6yUIlKnomgcsSgxM6lOxURvzz//PE6Hg1tjHIICw4V2tq+EnW/tzNja736/n6/90z9xofECf3fPA9SUTHxCeySqgoV4xDXl5noSjRaLGNi9azdzZlSM+NQ8MzCds+fOTvmcR5GeRUHO2E+CxSFj/VTzIvP5fLy48UXWzKmnaAz34rGYFyjF6/NeenjJJMLhMN/+9rfZf+AAn7v9HpaOkS9rojhxUOsr4q0db03ZYc9EoMVignR3d3PkyGGunjVyZtDZgRJgaro1RtPT00N+Ts6448u5ykOOeKacWGzevJn+gX7uXL4y7mPUBqeTjZutW7cm0DL7UUrx4x//mNdff50Hb1jPjQsmFn8yEeYES+no7ODUqVMJO+ZUQ4vFBHnzzTcJK8U1cxeMuL4knEcBORk/ljwe3d3d4/YqwBhOKQnkcvbMWeuNShGUUvzxmWeoLSljUfXI5VMnghMHs/0lvLl1W0aVWn3iiSd46qmnuHvFKt698pqEHnt2oARBePPNNxN63KmEFosJsvnVV6komk5dadmI6wVhnreUPXv2TGmvi+7ubgqyx05dEaEklMfZs2enTMbeQ4cOcer0ae5cvnLEIkexUO8vY2BoMGMmbV999VV++tOfcl39Qj5+022TPj/DyVUeqkKFbH39jYQedyphmViIyAIR2Rv11ysinxeRYhF5SUROmK/TrbIhUbS0tLD/wAHWLVwy5kVcHygjFApN6d5Fd1cXhRPoWYCRQtrr806ZHFFPPfUUednZrBsjrfZEmRmcjkdcvPFG+t/89u3bx3f+z/9hUXUtf3n7u2L2EJso83xlnGs4r1PzxIllYqGUOqaUWqGUWgGsAgaBPwBfAjYppeqBTebnlOaFF15ARFi3cOzo0YpQAUUql00vv5wky1KPnp4eCsbxhIpQGjImeKdCudCWlhbe3LaN25ZcdSmv2GRw4WSWr5htb2xN6+I+DQ0NfO1rX6O8sIgvvOu9eCaY8yke6gNlCPD6669b1kYmk6xhqNuAU0qpc8D9wC/M5b8AHkiSDXHh9/t57rnnWDVr7pg1pcEYilroncH+/QeuqKY3FQgGg/T29U24Z1EaysOBTIlJx2effRZEJjWxPZz6QBm9/X0cOnQoYcdMJr29vfzj//uPuBR86b73k5+dbWl7+SqLqlARm1/drL2i4iBZYvEh4FHzfblSqhnAfJ2RJBviYtOmTfT29nLXilUT2n5RoAJQvPTSS9YaloJE6lOMF5AXwYWTYpXHyZMnrTTLdrxeL88//zxr5tRTOkr1wHioCxTjxJGWw56hUIhvfOMbdLS384V3vWfUeu2JZr5vBg2NDZw9ezYp7WUSlouFiHiA+4Dfx7jfp0Vkl4jsitR0TjbBYJDf/e53zC2vZGnNxPy9C8M5zAwW88Jzz6f18EA8RALyCmOItp3hz+f4seMZ/aT3yiuvMDAwwD0rVif0uB5c1AWms23rtrQ7fz//+c/Zt28fn7rlDuZXVo+/Q4KYHyjDgfDKK68krc1MIRk9i7uBPUqpSNHlFhGpBDBfRxyvUUr9SCm1Wim1uqxsZA8kq9m0aRMtLS28b831MXlnLPVV0t7ZMeViLiaa6iOa8lABvX29GTtsp5Ti6aeeYvaMChZYcFOcEyilrb2NM2fOJPzYVrF9+3aeeOIJbl92NesXL0tq2znKQ12gmFc2vTLlHuYmSzLE4sO8MwQF8AzwkPn+IeDpJNgQM16vl1/98pfUV1SxcvbcmPadEygln2z++MwfLbIuNYnkeZoeQ2RyechIwpippS/37t3L+YYG7r5q8u6yIxEJBt2xY0fCj20FHR0dfPc732H2jAoeuulWW2xY5K+gs6szY9yOk4WlYiEiucDtwJNRi78J3C4iJ8x137TShnh5/PHH6ejs5GM33RLzj9yJg6VDFezes3tK1Wy4lHE2hp5FWSgfF86Mzdj77LPPMi0nl+vqF1ly/DyVRXm4gB3bU18slFJ8//vfxzvk5a/vvHfC1e5i4VTL+AW15gRKyMI9JecVJ4OlYqGUGlRKlSileqKWdSilblNK1ZuvKZd29MKFCzz22GNcP38RCyprxt9hBJb5q3Di4I9/nDq9i46ODvKyc2JyDXXiYEYoPyPrJLe1tbH9zTe5dfEyS11CZ/mLOX7iOL29vZa1kQi2bNnCzp07+dB1N1E1vcSSNvonUD7VhZP5vjK2vrF1SgfQxoqO4B6GUop///d/x+Vw8PFJdJPzVBb1/jJe3Pgig4ODCbQwdWlvb6dkjHKqo1EVKOTkqZMZVyd548aNKGDD0hWWtjMrUIxSirffftvSdibD0NAQP/7Rj5hTXsHdV03Ms9BKFvsr8Af8OuYiBrRYDOO5555j7969PHj9zTGNvY/ECl8NQ94hXp4iQXptra0Ux3HOqoOFhEIhjh07ZoFV9hAKhXhx40aW1dYxo7DI0rbKQwVkizuls9A++eSTdHZ18cl1G3A47L/tVIQKKFZ5vLhxo92mpA32/9dSiKamJn7y4x+zfOashDwNVoQKqAgV8vRTT0+J/Eetra3jBi6ORGXIqJOcScWj9uzZQ1t7O7ctucrythwINb4i3t69JyVdaAcGBnjyiSdYM3d+Ut1kx0IQlngrOHL06JSsqRIPWixM/H4/Dz/8ME4RPnPb3QnzXFnhraapuYndu3cn5HipysDAAH39/XGJRbZyMyM8jb0pPIwSK5s2bSI/O4fVc+qT0l5tcDptHe00N48/wZtsnn/+eQaHhnjvmuvsNuUyFvorcCB6onuCaLEw+dnPfsbJkyf53G13JzTKtj5QRh5ZPPP0Mwk7ZioSSQYYbyRurb+Io0ePZsT8zsDAAG9u28YN8xfFXTc6VmqDRQAp5w4aDof507N/YlF1LXNmVNhtzmXkKQ+z/SW8tPFFgsGg3eakPFosMLw0nn76ae66ahVr5s5P6LGdOFg2VMmu3bsy2o22qakJgMqi+JII1wWLCYXD7NuX/qVpt2/fjj8QSGjxnvGYHs4lj6yUE4vDhw9zseViUobj4mGJv5Kevl7eeustu01Jeaa8WJw5c4bvfve7zK+s5mM33mJJG8v8VTgQ/vSnP1ly/FSgsbERgIrC+MQik+okv/7665RMK6C+oippbQpClb+Q/fv2p9S8xbZt23A5nayeM89uU0ZkVrCYfLL0RPcEmNJi0dPTwz999Z/Icbn527vvt2zIIE9lMc9fxosvbMw499AIDQ0NlEwrINvjiWv/SJ3kHdt3pLUzwODgILt372bt3PmWRGyPRU2wkI7OjpSqD7Jr5y4WV9eS48my25QRceBgobecnTt3XQoq1YzMlBWLQCDA1//563S0t/N39zxAcRzxAbGw3FfNwNAgr732mqXt2MW5s+eoLS6d1DHmBcro7OrkxIkTCbIq+ezdu5dgMMiqJE1sR1NtzlscPHgw6W2PRE9PDw2NDRNOwmkXi/2VhFVYJxcchykpFkopfvCDH3Dg4AE+c9tdSXHnqw4VUqzy+NOzmTcUFQqFaGhsoLZkcmIxO1iCA0nr6m87d+4kx5NlSdLA8SgJ55Et7pQRi4jozy2vtNmSsSkO51IZKuSlF19MqSG8VGNKisUTTzzBxo0beWD1Wm5KQInLiSAIy4aqOH7ieMYV+zl//jyBQIBZZeWTOk62clMbnM6WzVvS9kf79p49LK2ZmTQvqGgi8xYH9qXGJPe5c+cAqCtN6ZI1ACz2VXC+oSGte7VWM+XEYuvWrfzsZz9j7bwFfPC6dUlte1GgHCcONmbYZFqkeNHsSYoFwEJfOW3tbRw+nH65otra2mhpbWVxzUzbbKgOFtLccpGOjg7bbIjQ1NREfk4O03Jy7DZlXOoDZThx6KGoMZhSYnHs2DG+9a1vMbe8kr+6w7rC8KORrdzU+8vY9PKmjJroPnHiBNkeD5XTiyd9rLmBUlw42bRpUwIsSy6R8qYLq+JLPpkIaoKGN1oquNC2tbUlNGbJSrKVm9n+El595VVd52IUpoxYtLa28tWvfIXC7By+eO978bgmnhk1kSzxVzI4NJiWpTBH48jhw8wrr0yI+HpwUe8vY/Orr6adoB4/fhy3y2XrsEtZKJ9scadEvEpXZyfTY0hXbzcLA+X09vWyd+9eu01JSaaEWAwNDfHVr3wF79AQX3r3n8VUbyHR1ASLKCKXjS9kxlDU0NAQp8+cSeiE7lJfJUNeb9p5jp06eZK6kjKcNibKcyBU+wrZkwJ5onp7e5mWPfESu3YzK1BMlrjYvHmz3aakJBkvFuFwmG9961ucPXuWz991HzWT9NiZLIKwaKic/Qf2p5Q/fLwcPnyYcDicUI+yqlAhJSqfZ55+xvYbXiycOXMmJSZzZwaLaWtvsz1jwMDAALlZqRlfMRIunMzxlbL1ja0EAgG7zUk5Ml4sfv3rX7N9+3Y+ftOtrKibY7c5gJFLXyAjEpjt378fp8OR0HF6QbhqqIpTp0+lzUR3b28vff39CZm3mSyzgoYNdiavVEoxNDRETpxBmnZR7y9jyDuUEsN4qUZGi8Wbb77Jb37zG25etJS7UqDgSoRpKpvaYDEvbXwxraOVAfa+/TbzyqvIdif2prDIX0E2bp584snxN04BIk/x8ebGSiSF4RyKVZ6tpVZ9Ph9hpRJ+XVjNzOB0POJi69atdpuScmSsWFy8eJFv/+9vM6e8gk/dcmfSUy+MxxJfBW0d7Wn9BNPT08OJkydZNjPxEbpunCz3VvHmm2/S0NCQ8OMnmvb2doC4UrRbwWxfMfsP7Ke/v9+W9iPOCbGU2E0FXDip801nx5s70moINBlkpFgEAgEefvhhCIf527vut7T+cbzMDZSSjTutYy727DEmUa+2aHhvha8GJw4ee+wxS46fSCJxDZOtrpgo5gbKCIVCtmVTjYhFdpqJBcDsQCldPV0ZFzw7WTJSLB599FGOHz/OZ2+7y/KSlvHiwslC3wy2vrGV3t5eu82Ji507dzItJ8eyOgW5ysMybyWvbHrF9sna8eju7sbpcDAtOzUC0CpDBeSTzWtbttjS/tDQEAA5SRyGeuS1l+n3GSL1p7xDbM6JLxo7MueTCRmQE0nGicXJkyf53e9+x7qFS7l23gK7zRmTJb4qgqFgWgagBYNB3nrrLVbOmmtpTeXVvpk4lPDrX//asjYSQX9/P7lZ2Skz3CkI871l7Nq9m76+vqS3Hylilcxss+faWgmZc4AXXb20OeMbgstVHsrC03S8xTAySixCoRDf/973KMjJ5aF1t9ltzriUhfOpCBXw/J+eS7vx0YMHDzIwMMAai7Or5qksrvJWsfnVzZw5c8bStiZDKrqJLgyUEwqF2GJD72JgYAAg5c7JRKn1F3H40GF8Pp/dpqQMGSUWL7/8MidPneLjN95Cfna23eZMiGW+KhouNKZMptCJsnXrVjwuN8tmzrK8rTW+OrJw8ZOf/MTytuLF5/ORZVNWgNEoC+VTFs7nxY0vJr3tyMR6XlZ6/A6HUx0sIhgK6sSCUWSMWHi9Xh555BHmV1Zz/fxFdpszYeb7Z5At7rSqohcKhXjj9ddZOWtOUlwjs5WbNUMz2bNnj62xA2MRCARw25BpdiwEYbG3ghMnTyR9sjYy9JUqczixUhkyclqlS5xPMsgYsXjppZfo7u7mw9ffnDLjxhPBjZNFQ+W88cYbaVOp68CBA3T39HBd/cKktXmVr4ZCcvm/P/y/BIPBpLU7UYLBoK1pPkZjUaAClziT/jDS09ODQ4S8NB2GylUeisjl2LFjdpuSMqTe1R0HoVCIJx5/nPmV1SxKQsbPR157mfMdbQAc9DTF7XURYbm/mlAoxPPPP58I8yxn8+bNZHs8XD1rbtLadOFgXf8cGhobUrYXloqPKNnKzQLvDF7ZtCmpE909PT3k5+RY6vxgNWX+PE6d1O6zEdL3PxnF/v37aWlt5e6rViWlV3GurZUhvx+AXqc3bq+LCNPDucwMFvPcs39KyafmaPx+P2+8/jpr5tQnPeBqTrCUmcHp/PIXv6SrqyupbaczK3w1+Pz+pMb09PT0UJCTPkkER6IslE9La8ulyfqpTkaIxauvvkqOJ4vVc+bZbUrcXO2tprO7K+XTDOzcuZOBwUFuXLA46W0LwvrB+fiGvCk32S0ihFPUo60snE9NsIin/vBU0h5Guru7KUijjLMjURw2slM3NTXZbElqkPZioZRi586drJw1x7YaFYlgVrCEIpXL0089ZbcpY/Lyyy9TlJfPstpZtrRfHM5llbeWV155JSUK/ERwuVyXfPxTkVXeWjo6O5KW9r23p4dpaeKROBrTQ4bYpXpAaLJIe7G4cOEC3d3dtpayTASCsNxbxZGjR1PWXa+7u5udO3dy04LFtk7mrvHWUUgO//b9f8VvDgfajcvlIpjCYjErWEKJyuex3z2WlJievr5+8tPUEypCYdgQu+bmZpstSQ3SXiwiN9b5FYmrp2AXS3yVuHHxzDPP2G3KiGzevJlQKMS6hUtttcONk/X99TQ2XeDxxx+31ZYIhlikbjlOQVg9WMu58+eSki9qaGgwbQPyIrhwkiOelKhnngqkvVhECgiVp2gOqFjIwsVC3wy2bN6ScvmilFK8uHEjc8ormFlaZrc5zA6WMN8/g98++iiNjY12m4Pb7SaQ4rWb5wdmUEAOv330t5b2LpRS+Pz+lIs7iYe8sBaLCGkvFu3t7UzLyU27VMijsdxXTSAY4MUXkx91OxanTp3izNmzrF+0zG5TLnHz0DwcQeHf/vXfbE+X4na7CYZS25PNiYNVg7UcPXbU0vmeyP8ind1mI2QHXbbk1kpFLP1vikiRiDwuIkdF5IiIXCcixSLykoicMF8nVS0mEAhkjFCA4blSFSrkhedfsP0GGM2LL76I2+nihvnJ94IajTyVxQ2Ds9l/YD8vv/yyrbYYYpG6cxYRlvgryCOLRx991LI2RMTwDkvhOZyJkqVc9PfZUxMk1bBa+r8PvKCUWghcBRwBvgRsUkrVA5vMz3ETCoVwpFHE9kRY4qvkQtOFlEk14Pf7efWVV1kztz7lcm4t81dRGSrkJz/6sa1Dd8YwVOJ6Fo+89jJn21oBOOFunXTgZwQXTlYO1bBv3z6OHj2akGMOR0TIzs5mKJAazgeTwY2TITOD7lTHMrEQkQJgHfBTAKWUXynVDdwP/MLc7BfAA5NpJzc3l0F/ZmWGrPeX4RaX7U/LEbZv307/QD+3LE6dIagIgnDrwHz6+/v5+c9/bpsdTqeTUAJ7FufaWi9d1wMO/6QDP6NZ5qsiBze/tbB3UVRYSE8G3GSdykEwmNpzUcnCyp7FHKAN+LmIvC0iPxGRPKBcKdUMYL7OGGlnEfm0iOwSkV1tbW2jNlJQUMDAkJdgik8uxoIHF3N8JWx9/Y2UiOh+6aWXKJlWwNKaxJdPTQRl4XxWeGt44YUXOHLkiC02GHEW6XENenBx1VA1O956i7Nnz1rSRnlFBS093ZYcO5k4EEIpPheVLKwUCxewEvj/lFJXAwPEMOSklPqRUmq1Ump1Wdno3jeVlZUoVEZcmNHM95fRN9Bve43ujo4O9uzezbqFS1J6wnKtdxb5ZPMfP/gBIRseHFwuF2GlUjaKezgr/DV4xGVZydq6ujoaOtpTOlBxIoRRODPAqysRWPnrbwQalVI7zM+PY4hHi4hUApivrZNpZOZMIxivoWP03kc6UhcsxoWTXbt22WrHK6+8Qlgpbl5kb2zFeHhwcePAHE6eOmWvJ1maiEW2crNkqIItm7fQ2jqpn+CILFq0CH8wwJnWiwk/djIJi8KhxQKwUCyUUheBBhGJ1Da9DTgMPAM8ZC57CHh6Mu3MmjULt9vN8YuZlb/FhZOqYCG7dtonFkopNr38MvMrq6ksKrbNjomyIDCDqlARv3jkkUtlPZNFpNeVLj0LgKt9taAUT1mQYuaqq67CIcKes8nL2jro85Gdnc0DDzxAdnY2PiY/fBQkRHaaBxcmCqvHFf4r8GsR2Q+sAL4BfBO4XUROALebn+PG4/GwYMECjlxomKytKcfMQBGNFxrp6emxpf1Tp05x7vx51i1cYkv7sSIINw3Ooae3N+mR3RE30XTyzCtQ2dT7y3jh+RcSLq5FRUUsXbqUrcePJM0FfNDv46677uIzn/kMd955J36ZvFj4JEhefn4CrEt/LBULpdRec95huVLqAaVUl1KqQyl1m1Kq3nyddMWflStXcrr1Il0DmeUPXW5W6zp58qQt7b/66qu4HM6kFjmaLJWhQur9M3jyiSfo7u5OWrsRsUinwltgpC8f8g5Z4nl3+x13cLG7iwMNZxN+7JHI9WTxwgsv8MMf/pCNGzfiUa5JH9PvCJGXn5cA69Kf1J2xjIHrrrsOgF2nUzMBX7yUhYwnmmSXxATj5rdl8xauqpuddgnhrvfOxu8P8MQTTyStTSPex5F2YlEZKqQ8XMCzf3w24T2AdevWUTx9On/YtT2hxx2N3KwsvF4vTz/9NF6vlywmLxaDzgDTp08qbjhjyAixqKuro6a6mq3H7XGbtIps5SZb3JZMQI7HoUOH6Ojs4IY0qmceYXo4lwX+GfzxmWeS1rsIBAK4XZO/OdnBcm8VDY0NHDp0KKHH9Xg8fOCDH+Rw43n2nj2d0GMnA4ViAJ8WC5OMEAsRYcPtt3PkQgMXuzOrgtq0cBZjxZlYxeuvv47b5WLV7PQsKHWNtw6f35+0UrV+vx+3Kz29Zub7Z+DBZYkX2d13301VZSWPvL4JfwrEDMXCkAQIEaakpMRuU1KCjBALgNtuuw2HCJsO2RuXkGiygq6ke/aEw2G2bd3GipmzyfZ4ktp2oigO51EXLOaPz/wxKYGNQ0NDZLvT81y5cTLfV8ZrW15jaGgoocf2eDz85V/9Fc1dnTy+I7WrQA6n1+EFoKKiwmZLUoOMEYvS0lKuu/56Xjm0H18gYLc5CcOBEEzy9zl+/DgdnR1cM3d+wo75yGsvX6pb/mT+3oTlOhqLFd4aurq7ePPNNy1va2hoiJw0FQuARf4KfH4fO3bsGH/jGFm1ahV33HEHz+zZwaHG8wk/vlX0OAzhLC8vt9mS1CBjxALg/vvvp987xGtHD1rajhX+3GORbNf9t956C4cIK2fPTdgxz7W1XopBuODqSWiuo9GoCxaTTxavvvqq5W0NDg6Sk6a9MICqUCH5ZLNl8xZLjv/Zz36Wqsoq/nXjH9PGa7HLMYiIUFlZabcpKUFGicXSpUuZP38+z+x5y9I0A1b4c4+GzxEif1py/bx37NjB/MrqtPOCGo4Dod5bxs63dlpek6C/r4/8rNTKyBsLgjDPV8ru3bvwer0JP35OTg7/6x/+F0PBAP/nT39Ii/mLLucgpcWlZKdYpmW7yCixEBE+9KEP0drTzTYLPaOs8OceDZ8zSH4Sg4I6Ozs5ffo0V89KXK/CTuYHZhAMBdmzZ4+l7fT19ZGXxmIBMDdQSiAYZPfu3ZYcf/bs2XzhC1/gxMUmfvjycykf7d7hGmTWnFl2m5EyZJRYAFx77bXMnjWLJ3Zus6x3YYU/90iECNPLUFIn2Pbu3QvA8pmzktamlZSHCsgWN2+//bal7fT29jItJ717YlXBQrLEzc6dOy1r48Ybb+STn/wkW48f4TdbN1vWzmQJEabTMcjs2bPtNiVlyDixcDgcfPRjH6O5q5PXjybWbzzZ9Di8hFFUV1cnrc29e/eSl53NrNIRM8enHQ6EGl8Rb++2rmfh9/sZ8nopyMm1rI1k4MRBra+IPbt2W5qi4/3vfz/vete7+OOet3hmd+In1BNBp2OQMGEtFlFknFiAEdFdP6+e3+94Iy3GRkej1WmMsyfzgj144ACLq2pTOh15rJSHptHa3kZ/vzUTq5HAv4I071kA1Aan09bRTnNzs2VtiAif+9znWLduHb/eupmXD+61rK14aXUZv71589IzzsgKMueOEIWI8Mk//yTtfb28dMDa4QcraXb1kOXJSppYdHV10XzxIguqkteTSQaRtClWFfrp6jICQQtz0z+HUE2wCICDB631KHQ6nXzhC19gzZo1/OTVF9lyxNr2YqXV2Ud2VjZVVVV2m5IyZKRYAFx99dWsXLmSJ3e+Sb8F3h3J4IKnh0WLFyWt+Eqkytz8yswSi+KQcRNvbGy05PiRnkUmiEVxOJcc8SSl/rvb7eYf/uEfuGr5cn748nNsPZYaNecBLrr6qJ9fn1E97MmS0WfiU5/6FAM+L3/Yuc1uU2KmV7y0Sz9r1qxJWpsnTpzAIQ5ml2VWEFKuMuIfIj2ARBMRi6IMEAtBmOHP59jRY0lpz+Px8OWvfIUlS5by7y8+y5spkN8tSIg2Zz8LFiwYf+MkISJ5IvInEdknIgdF5IMiskpEtojIbhHZKCKVIlIoIscidYRE5FER+X8SYUNGi8Xs2bPZsGEDL+zfk3ZlV8+42wG45pprktbmqVOnqC4uweNyJ63NZODCQba4LROLTBqGAmOO53zDefxmxL3VZGdn89V/+iqLFi3iX198lu0njial3dFoc/YTJszChSmVmv8uoEkpdZVSainwAvBvwJ8ppVYBPwO+rpTqAf4L8IiIfAiYrpT6cSIMyGixAHjooYdwuVz8+g3ro3gTybGsVmprapPqCXX61KmM8YIajhunZTe/7u5ucrKy8KRp1tnhlIbyCYfDnD+fvNQcOTk5/NPXvsaCBQv4141/ZOcp+8oNNLuMYmOLFqVUxuUDwAYR+RcRuQmoBZYCL4nIXuAfgBoApdRL5vY/AD6VKANiEgsRSbtHp5KSEt7/gQ+w49RxDqdJNb0+8dLk7OGWW29JWn2EgYEBOjo7qSkpTUp7yUaUEAqFLDl2d3c3hTlp99MYlRJzjufcuXNJbTc3N5evfe1rzKuv53vPP83bSSzJGk2Ts5fyshkUF6dOKWGl1HFgFYYIPAy8DziklFph/i1TSt0BICIOYBEwBCTsS0xILETkehE5DBwxP18lIv+RKCOs5r3vfS+lJSX88vVXUj5qFOCIxyhyf/PNNyetzcjkb/X01PmBJBSxropdd3d3RrjNRigM5yAIFy5cSHrbeXl5/PM//zOzZs/iO889xeEkJx5UKJo9vSxdviyp7Y6HiFQBg0qp/wS+DVwLlInIdeZ6t4hE6h//Lca9+sPAz0QkIePKE+1ZfBe4E+gAUErtA9YlwoBkkJ2dzSf//M8503qR1y1OMjhZFIpD2S0sW7osqW57TU1NAFQWZaZY+AiSm2tN0FxvTw8FaZ5HKxoXDgrItjTWYizy8/P5569/nYrKSv7l2Sc41ZI8O3ocXgbwsXjx4qS1OUGWAW+ZQ07/C/hH4M+AfxGRfcBe4HoRmY8x9PR3SqnXgdcwhqgmzYSHoZRSw8dwrOnTW8T69euZX1/Pb998HW8gORN38dDg6qJHBrnr7ruS2m5LSwsApQUFSW03GSgUfhWwTCz6+vrIz6CeBUB+MIs2Gyo0RigsLOQbDz9MYVERDz/zOM3dnUlp94KrG4AlS5aMvWGSUUptVEotN4ec1iildiml9iql1pmT3kuUUj9WSh1XSi1SSvWZ+/03pdSXE2HDRMWiQUSuB5SIeETkC5hDUumCw+Hg//n0p+ns7+PZPdblvpks+z1N5Oflc+ONNya13dbWVgpyc9O2gM9YDIofBZaNQff196d1xtmRmBbOorXFPrEAY77x69/4BuJ28fDTv6c3CUXAmpw95OflU1tba3lb6cZExeKzwF8B1UAjsML8nFYsXbqUG264gWf2vEX34IDd5lxBv/g47WnnrrvvwpPk2ggdHR0U501LapvJIlLxbMaMxHt6BYNBfD4fuVlZCT+2neSGPfT29dptBtXV1Xz1q1+la3CA//2nJwlYnL6nydPLkiVLdDDeCEzojCil2pVSDyqlypVSM5RSH1VKdVhtnBV88pOfJBgO8fiON+w25Qr2Z11AAffcc0/S2+7q6qIwzRPhjUaPhWIRKUOa40msWCS7wNZwcpQbn99vSW2LWFm4cCFf+OIXOd58gZ9sftGyJIeD4qdLBli6bKklx093JuQYLiL/OsLiHmCXUurpxJpkLdXV1dx99908/9xz3Hv1NVQUTbfbJACChDmYfZFrrlljS2Wu7q4uKkszs9Zwp3MAh8NhicNA5GaaleAYi+gCW0opXn1yY0KPPx6RGi1DQ0MpUfznpptu4sMf/jCPPvoo9RVVbFi6IuFtNJnxFak2X5EqTLSvlY0x9HTC/FuO4b/7FyLyPUsss5APf/jDuNxuHkuh3sVxdyuD+Ljv/vttab9/YID8FLgpWEGnY5CK8gpLhvYigX6JjnpPZoGtkXArIx9ZpOeUCjz44IOsXLmSR7Zs4nx7W8KPf8HZjdvlZu7czCj8lWgmKhbzgFuVUv+mlPo3YANG0Md7gDusMs4qiouLue+++9h2/AiNHe12m4NCsS/nArXVNVx99dVJbz8UCjE0NJRx4+4R2j0DzJk7x5JjBwIBAFwJTvaYrAJbo+HEiEmJfL9UwOl08sUvfpH8afn824t/TPj8RZO7lwULFiR9vjBdmKhYVAPRIap5QJVSKgT4Em5VEnjf+95HdlYWj7+11W5TaHb20uLo5f73PJC0iO1oIk+PuQked08FvBKgm0HL6hJExs8dNvzfrMRhikXYwlr28VBUVMTn//ZvOd/expMJTBAaIESbs48lS6fGEJSI3GUmHDwpIl+ayD4TfVz5FrBXRDYDghGQ9w0z/cfLcVlrM4WFhbz7vvv4/e9/T1NXJ1U2Ri7vy2okNyeX2267zZb2rRpKiSYyYXvXXXfxwgsv4OtPzoRtm9MoeGS1WGQakW+Vil5B11xzDbfccgtPb9nCDQsWU1M8+RQ1Lc5ewqikB+N95M/e/1qWyz0zUcfzBQPnf/P478cMmBYRJ0beqNsxvFt3isgzSqkxc8RPSCyUUj8VkeeBjwFHgReBRqXUAPDFiRwjFXnPe97DU3/4A8/s3sFnN9xtiw0D4uOkp51773i3bROJPp/ROfS4rKubYdeE7UWn4f45f/58S44f6QlmmmiEMXoUrhRNjvjpT3+at3bs4Jevv8L/vP8Dkz5ek8u4TpKdaTbL5Z75/Yc+XZeo4/3NL340kc2uAU4qpU4DiMhvgfuBMcViormhPgVsBL4EfB74KfCVieybyhQVFXHHnXfy+rFDtsVdHPJcJESYe++915b2wbpx92jsmrC96OylYkY506ZZE0Pidhu9sWCKDddMloAY3ydVx++Lior4yIMPsu/cGQ40nJ308S66eqmqrKIgAzMYjEA1EJ2Ro9FcNiYT7WP+DbAGOKeUugW4Gki8O4IN3H///QRDIVvKryoUh3KaWbZsGTU1NUlvP0JkXNoh1g052DVh2+LpZ+Fi61JNR8QiEErfWu8j4RPjAcIqkU0E9957L6UlJfx+++TmHRWKi+4+Fi9JuXxQVjHSBNu4XeOJ3h28SikvgIhkKaWOAqlTRmoS1NTUsGb1al46uJegRSmsR6PR1U0PQ9x9tz1DYBHeEYvMmqTtFx/9eC2teBYZOvSmkNdQIhiSAG6Xi6wU9pDzeDz82fvfz7HmRo41x18yt9fhZRBfSlXGs5hGjHoYEWqApvF2mqhYNIpIEfAURrGNpydy8HThXffeS8/AALvPnExqu4c9F8nJzuH6669ParvDscMDKxlcNMehrbwJ5JgJBIf8aekUOCoDDj/Ti6an/LVx5513kpeby8Z9e6grm4HTnJCvCBZQFsqf0DFanH2AdfNaKchOoF5EZouIB/gQ8Mx4O0003cd7lFLdSqmvAP8vxpzFA+PtJyJnReSAiOwVkV3msmIReUlETpivtodQr169mtKSEl45tC9pbQYIcdLTzrqb19n+9Ba5IaRDrY9YaHH24nQ4LA2y8ng8ZHk8DKRAWoxE0ufwUVpWZrcZ45Kdnc2G229nx6nj/Nk1N1xK6PiugSWsH6qf0DFanH24nC5mzZploaWpg1IqiFF6dSNGQtjHlFKHxtsv5oFjpdSWGHe5RSkVHfn2JWCTUuqbpn/vl4C/j9WOROJ0OrltwwZ+/9hjdA8OUDROLeW6shmcaWthyO+nIJQ94SeYaM65OwkQTGqBo9GIuEeGVWZN0rY4+6irm2X5JG1BQQF93tSJdE4EvS4vC6uSn3YmHjZs2MDTTz/Nxv17CMXhaNDq6qOurs6WyXxfMHB+gh5MEz7eRLZTSj0HPBfLse3wi7sfWG++/wWwGZvFAuDWW2/ld7/7HduOH+GeFavH3PYT6zZwuuUix5ovsNRfxTW+2D3fTrhbmZaXz/Lly+M1OWFE3CODocwRC4WizTPAzQuutbytwsJCeoesT5+dLAKE6MOb1OJbk2Hu3LlUV1Xx2PbY0/coFO3uAW6eb/11MhLjxUSkElZH3CjgRRHZLSKfNpeVK6WaAczXEVOBisinRWSXiOxqa7Pe8WrmzJnMnjWLHSePWd5WmDDnPF2svf46nBa6q06US+6fGeTR0yc+hpQ/KXl+iktK6BpIvZT38dLhNL5LXV3C3P8tRUT4569/nS9/+cuUlJTEtG9/Eq+TdMdqsbhBKbUSuBv4KxGZsIoqpX6klFqtlFpdlqSx0xtuvJFjzRfoHui3tJ2Lzj68BFi9euweTLKIiIU/yd5gVtJuRm7PmWNNTqhoiouL6Rzos7ydZBE5d+k0hl9RUcHatWtjDmxNx+9qF5aKhVKqyXxtBf6AETnYIiKVAOarveW4oli7di1KKfaeO2NpOw2uLgSxJWngSER+YP4Mcv9M5tNxWVkZvYOD+C0uzJMsWpx95Obk2pIqP9m0m9eJFovxsUwsRCRPRKZF3mNkpz2I4aL1kLnZQ0DK1MOYM2cOxdOns/fcaUvbueDqZubMmSkT8JSVlYWI4AtmlliUTC8mL29sZ4VEUF5eDkB7ClSWSwQt7j7q6+tTMi9Uouk0r5P8/NidVKYaVl4N5cAbIrIPeAv4k1LqBeCbwO0icgIjkdU3LbQhJkSElatWcbDxvGVupApFiye1sluKCNnZ2QyZCQUzgS7nELV1CcvPNiYRsWjt7U5Ke1biJ0ibo3/KRDN3ugaZOSs95mbsxjKxUEqdVkpdZf4tUUp93VzeoZS6TSlVb752WmVDPCxfvpy+oUEaO62pc9Hr8OJTQcuyoMZLXm4ugxkSWKZQdLuGkpZCJTJc09LTnZT2rKTZ1YtCTYlqcQplPFTU1o6/cQYhIj8TkVYRORjLfqmZUtJGli1bBsCRCw3MLEn8xHq7IzUn1PLy8hj0ZYZYDEkAnwokzfWzuLiYLI+Hlu6upLRnJY2uLpwOR9JTddvBoPjxq6Ctedn+7M77X3MrZ8K6wAEJnX9849PjORI9Avw78MtYjq3FYhjl5eUUFRVx4mITdy5fmfDjdzkNf/yZM5MzRDJR8qdNo787Mzx6eh1GNHWyJmhFhKqqKpq6U6qTHBcN7m7q6+dfSmOSyXQ5jEBKO+NJ3Mo58xN9axM2DvbItO3jbqOUek1EZsV67MyfwYoREWHhwoWcbGm25Pi9Di/5uXlJmXiNhYKCAvp9mZGyIiIWkbmEZFA7cyZNad6z8EqAFmcfK1cl/iEpFek1xWIqeH0lAi0WIzBv3jwudnfhtWDCt9fhZUYSb2ITZdq0afR5MyMKuc8UixkzRoz3tISamhraerrT2n32vKsLhWLVqlV2m5IUepxeRIRkxXGlO1osRmDu3LkopTjXkfgQkCFngOIS+0q4jkZRURG9g4MZkUywz+EjJys7qb232tpawkpxMY17F2ddHeTl5k2ZVN194mV60fRLQamasdFiMQKRyefGjsR7RA05ghQWFib8uJOlqKiIUDicEdlT+8UXc9qHyRKZg7LKi85qFIpzWV2sWr0qJVLQJIM+h48ZM3SvYqJosRiBGTNmkJ2VRYMFYuGTYEoGABUXG72d7kFrU50kg36nj9Ik3wRqampwiKStWLQ4+xjAx5o1a+w2JWkMuP1pkYY90YjIo8CbwAIRaRSRv5jIftobagQcDgc1NTU0dSXWu0Wh8Ksgubm5CT1uIog8iXf291NrgctwMhlwBSgtLU1qmx6Ph8rKSkseMJLBGXcHIjKlxMKOHuhwAhI6PxEPpliON942SqkPx3NsLRajUF1Tw+G9iS2GFCKMQsWc7CwZRG6unf3p7T4bRtGvvLbcBOpmzeLMkaNJbzcRnPF0sGjhwpQcIrWCACH8KnipR20XE4iJSBn0MNQoVFdX09HbQyCB3i1BMepF2FFkZTxKSkoQEdr70zu/0aD4UShbPFzq6upo6e7Cn2Y5tvrES6ujj7XXXWe3KUlj0GF4OhYVFdlrSBqhxWIUqqqqCCtFa29Pwo4ZxBCLVPS+cLvdFE+fTlsCv68dRNxm7ehZzJ49m7BSXOhMr+C80+4OAK691p4CQHYwKIZYTJWeVCLQYjEKkajOROb7CaVwzwKgvKKC1p50FwsjZUkyA/IiRNKhn++YfLGuurIZ5HqM2ux5YU9cpXsnyml3O1UVlVMqR5JXjN6fFouJo8ViFCoqKgBoSWAm0VAK9yzAEMiLaZ45tdeGgLwI1dXVuN1uGhIgFp9Yt4FZZcZ3qA/MYP1Q/aSPORI+gjS4u1l7/XWIiCVtpCJeMYaXCwoKbLYkfdBiMQpFRUVkZ2XR0pO4IKtUnrMAQyy6+vvwBtI3VXmPY4hpefm2pFNxOp3MrK3lXHvK1PMal/PuTsKEuW4KzVfAO2KRim7sqYoWi1EQESoqKmhL4LBMZM4iKysrYcdMJJHsm81d6RuF3OUcpNrGLKKz58zhfBq5z552t5Ofl8+iRYvsNiWp+MxhqFTL0ZbKaLEYg8qqKi4mcMI3IEaN61QVi3SPQgbodnupqbVPLObMmUP3QD89gwO22TBRwoQ5m9XFtWuvnTJR2xF8EiTLkzXlvvdk0GIxBhUVFbT2dKMSlC/Jl+Jd3+rqapxOZ9oGlg2Kn37ltbVWSKTtdBiKanL2MKT8U8oLKoJfQuROgTTsiUSLxRhUVlbiDwboGkhMCoyIWKRq19flclFTU8N5CxIoJoN2p/F/mjNnjm02RNpOB7E47e7A5XRNmSyz0fgllJKZFFIZLRZjEHGfTVQm0XTw7Z43bx5n0+BGNxItTiP6fO7cubbZUFhYSGlJCWfaUvscKhSnszu4asVVU/KmGZAgObm6ZxELWizGoLq6GoDmBInFgMNHfm5eynpDgXGj7ervT1hvKpk0u3qorqqy3R1y7rx5nE1xseh0DNLN4JTzgooQkBA5U1AkJ4MWizEoKyvD7XbTnKBymb0Ob8oXWpk/fz4ApxJcKbCubAYO04+/OliY8CAzhaLZ08fiJUsSetx4qK+vp6mrI6VdkE+5jXmpqThfARB0pGaOtlRGi8UYOJ1OqiorE5Z9tsfto9pGT52JMG/ePJxOJycuNiX0uJ9Yt4Ecs0f13v4VCQ8ya3X2M6T8rFixIqHHjYdI8axU7l2czmqnfl590rPzpgoBR0iLRYxosRiHmtpamhLQswgRpofBS0NbqUpWVhZzZs/hePMFu02JiXMuI7/RypX214+urzeEMNG9s0TRLz4uOnq5/obr7TbFNoIS1mIRI1osxmHmzJlmJtHJZZ/tcA4QRjF79uwEWWYdy5Yv48TF5oRm3LWa055O5s2dlxJZREtKSigpLuZU60W7TRmRU24jHckNN9xgsyX2ESSUsvFOqYoWi3GYOXMmYaUmPW/RZrp12umpM1GWLl1KIBTkZIo+GQ+nT7xcdPZw40032m3KJRYsXJiyPYuTnnZqqqqnVOLA4QS0WMSMFotxiPQEJhuo1uzsIS8n95I7biqzdOlSRISDjefsNmVCnPAYcwOp9KS8cOFCLnZ30Ts0aLcplzEofhpd3dx0c9rU3Ek4CkVAabGIFS0W41BdXY3L6eT8JGMPmjy9LF66BIcj9U/5tGnTmDd3HgcbUl8sFIrDWS3Uz6u/lNsqFVi4cCEAJ5oT6ygwWU6621AobrrpJrtNsY1Uz9GWqqT+nctmXC4XtbW1k6pR0C8+OmWAZcuWJdAya1m5aiUnLjYx6PPZbcqYtDn7aXf0c8edd9htymXMnz8fl9PJseZGu025jONZrdRU19iaEsVuUj1HW6qixWICzJ4zh3Pt8YvFObcx35FOaRVWrlxJKBzmQMNZu00Zk/2eJtwuNzfffLPdplxGVlYW9fX1HGlKHbHoEy8XnN2sv2X9lKpdMZxIz0J7Q8WGFosJMHv2bDr7++gbGopr/7OuTooKi9LCEyrC4sWLycvLY8/ZU3abMipeCXAsu4Vbbr2FadOm2W3OFSxZupTTLRfxBVKjJvcxTwsKuOWWW+w2xVYiPYscnUgwJrRYTIDITT6e5HBBwpzL6mTtdWvT6mnO5XKxevVq3j57mnA4bLc5I3LI00xAhXj3u99ttykjctVVVxEMh1JiKEqhOJrVyoL5C9LCycJKImKhexaxocViAkwmk2iDqwu/CqZlDp61a9fSMzjA8QRHcyeCEGHezrnAsqXLmDdvnt3mjMiSJUtwOp0cbDhvtym0Ovtod/Rz+x23222K7fjN7M9aLGJDi8UEmD59OkVFRXGJxUl3GznZ2SmRhiJW1qxZg8vlYuep43abcgXH3C304+X9H3i/3aaMSk5ODgsXLkyJeZ9DnuaUnNuxA7/Zs5iK2XYng+ViISJOEXlbRJ41PxeLyEsicsJ8nW61DYlgzpw5nIvRIypEmFNZ7ay97rqUzjQ7Gnl5eVx99dXsOHU8YQWgEkEYxa7cBmbVzWL16tV2mzMmq1at4kxbC72D9sVbBAhxLLuVG2+6MWULbyWTAFos4iEZPYu/AY5Eff4SsEkpVQ9sMj+nPHPmzKGxo51QDOP3511deAmwbl36BkDddNNNtPX2pFQ08gl3K50ywEce/EjKzwOtXLkSpRT7zp+xzYZjnhZ8Ksg999xjmw2pRKoXIUtVLBULEakB3gX8JGrx/cAvzPe/AB6w0oZEMWvWLIKhUExpP457WsjLyU2J5Hbxct111+FyOtl24qjdpgBGr+Kt3HPMrK1NqYjt0aivr6eoqMg2rzKFYl92E3W1M1mSAunbUwEtFvFhdc/ie8B/B6Ifx8uVUs0A5uuMkXYUkU+LyC4R2dXWFn+MQ6Koq6sDoGGC8RZBQpzK6uDGdTel5RBUhPz8fFatXs2bJ46mhFfUcXcLHTLAgx/9aFpEwzscDtasWcO+82cIhkJJb7/Z2UObo4/7Hrg/5XthycInQbI8Hlwul92mpBWW/dpE5F6gVSm1O579lVI/UkqtVkqtToWCQbW1tYgIjZ0dE9r+tLsDvwpmxITi+vXr6ezv4/CFBlvtCBNmR+45ZtXN4sYbUydp4HisXbuWAa+XozYE6L2d1UheTu6Uj62IxisBpuWnXlxOqmPlo9kNwH0ichb4LXCriPwn0CIilQDma+pWiIkiKyuLGTNmcKFrYmJx3N1KUWERy5cvt9gy61m7di052dm8ceywrXYc8bTQJYN87OMfS4teRYSVK1fi8Xh4K8leZT2OIU562rn7XffoALQovI5ASgZxpjqW/eKUUv9DKVWjlJoFfAh4RSn1UeAZ4CFzs4eAp62yIdHMnDlzQoWQ/AQ54+lg3c3rcDqdSbDMWrKzs7n+hhvYfuoY/qA90chBs1dRP68+7WJWsrOzWbVqFTtPnyCcRK+yt7MacTiE++67L2ltpgNDjgCF04vsNiPtsOPx7JvA7SJyArjd/JwWVFVVcbG7a1w30tPudkKE09oLajgbNmxgyOdj1+mTtrR/0NNEL0N84pOfSMux9xtvvJHO/j5OXExOBUKvBDiU1cwtt96a8nXfk82QM5gSRbLSjaSIhVJqs1LqXvN9h1LqNqVUvfmamALXSaC6uhpfIEDXQP+Y251wt1E8vZhFixYlyTLrWb58OWWlpWw5ciDpbQcIsTP3PEuXLOHqq69OevuJ4Nprr8XlcvFmkrzK9noaCRDife97X1LaSycGxU9hYaHdZqQd6TPwmwJUVFQA0NrbM+o2AUKc83Rxw403pNW4+ng4HA5u27CB/efP0tnfl9S292ddYAAfD30iPXsVYLhprl69mu0njlnuVeYnyL6cJtauXTulU5GPhJ8gfhWkuLjYblPSjsy5myWBiFi0jSEW59ydBAlx/fXXJ8uspLFhwwbCSvHa0UNJa9NPkF05DaxcuZKlS5cmrV0rWL9+PV0D/ZanLT+Q1cQQfj74wQ9a2k46MujwA0YKH01saLGIgcjYb3tf76jbnHa1k5eTm1aFjiZKdXU1SxYvZvORA0lL/7Ev6wJD+PnYxz6WlPas5NprryU7K4utFnqVBQixO6eRq1dcfalan+Yd+sUo5lVaWmqzJemHFosYyM7OZlp+Ph2jDMMoFOeyuli1ZnVGeEGNxB133klzVyfHkzBR6yfInpxGVq9anRE3vuzsbK67/nq2nzpGIBi0pI0DWU0M4uPDH/mwJcdPd/rNnoUWi9jRYhEjJSUlo05wtzsGGMCX8sntJsNNN91EdlYWrx6yfqI7MpzykQc/YnlbyeLWW29lwOvl7XOnE37sICF25zSwbNmyjOzZJoI+hxfQYhEPWixipLikhO5RxOK8WT41XT12JkJOTg7rbr6ZN08exRvwW9ZOkBBv5zRy1fLlGeVVdvXVV1NUVMTrFsz7HPA0M4CPj370owk/dqbQ5/CSn5evgxTjQItFjEyfPp2eoZHTTTe4uqipqs74p5Y77rgDr9/PjpPHLGvjqKeFfnx88EMfsqwNO3A6naxfv549Z07R742vTO9IBAmxO7eBpUuWZETWAKvodXiZoeNO4kKLRYwUFhbSPThwxfIwimZPL8uuyvwf6uLFi6muqubVw9YMRSkUb+dcYM6s2WlZNGo8brvtNoLhENuOjx1zUVc2Yo7NETnkaaYfLw/qXsWY9Ln9VFZP7bKy8aLFIkYKCwsJBINXpG3ocAzgU8G0d++cCCLCHXfewZELDVzs7kr48c+5OumQft77Z+9L27iKsZg7dy51M2fy+rGxh6I+sW4DwvjfP0iYXbkNLF60mKuuuipRZmYcCkUPQ5SXl9ttSlqixSJGIgnIhgdWXXQZ7rSZNL4+FrfeeisOEUsiuvdnXaCwoDCj0qVEIyLctmEDx5svxFQfZTQOe5rpw8uDH30wI8U1UQyInyAhKisr7TYlLdFiESMFBQUAV1TMa3H2Mi0v/1LgXqZTWlrK1StXsuXooYQmx+sVL2fcndx191243e6EHTfVuOWWWxAR3jg6uZiLEGF25zawYP78jHasSATdDmOusbq62mZL0hMtFjESqWE8XCxa3f3Mm18/pZ7sbr/9djr6ejnUeC5hxzzsMcq33n333Qk7ZipSWlrKVcuX8/rxw5MKcDzubqWHIT704Q9PqWsvHrqdhkOB7lnEhxaLGLkkFuodsQgRpsMxwNy5c+0yyxauu+468nJz2XL4YEKOp1AcyWll+fJlU2Jc+dbbbqOlu4sTF5vi2l+h2JXbQF3tTK699toEW5d5dDkGcbtcOgtvnGixiJGIWETPWXQ7hggRZvbs2XaZZQsej4d1N9/MW6eP4/VPPuai2dlDD4NsuP32BFiX+lx//fV43O64i0qdcXXQIf184EMf1L2KCdDlHKKiojJjsytYjRaLGMnNzQUgFH5n6KDDabjSRup0TyVuvfVWfIEAO0+fmPSxjnvacLtcGZmEcSTy8vK4du1atp04Gld97j3ZDZQWl2SsI0Ci6XIPMbNupt1mpC1aLGIkIhb52dmXlnU6BhARampq7DLLNhYvXkz5jBm8dnRyQ1EKxamsdlatXn3pHE8FbrnlFvqGBjkY47xPq7OPRlc397/nAVwul0XWZQ4hwvQwSG1trd2mpC1aLGLE6XSSk5PDnBnvjKl3OYcoLS4lKyvLRsvsweFwsP6WWzjYeH7EYMWJ0ursow8vN9xwQwKtS31WrVpFXm4u244fiWm/fZ4LZHmyuOuuuyyyLLPodgwRRmmxmARaLOIgPy+PQZ/v0udu5xDVtVPXHW/9+vWEw2G2T6IK3FlXJ4JkdBLGkfB4PFx/ww3sPH1ywkNRXglwLKuV2zbcdmkOTTM2neZQ8cyZehgqXrRYxEFuXh4DURO6vS4vVVVTN4XArFmzqKurGzd9xVic83Qyb968KVkb+cYbb2TQ5+VAw9kJbX/EfZEgIe69915rDcsgOs0Yi6k4VJwotFjEQX5+PoN+o2fhlyBDyj9lgvFGY926dRxrboyr5KqfIBedvaxctdICy1KfFStWkJuTM6HEjArFoZyLzK+vn3Led5OhwzlAedkMsqPmGjWxocUiDvLy8hgyh6F6zfz4UyEuYCxuuukmgLgy0Ta5egijpmwNBo/Hw5prrmH32VPj1uduc/bTLv3cceedSbIuvRgthqLTPUjd7FnJNSbD0GIRB/n5+QyYPYtIMZUZMyaeITQTqa2tpa6ujh2njse8b5OrB4fDweLFiy2wLD247rrr6B0c5Pg4AXpH3S04nU7tLjsKN9988xXLQoTpksEp6dqeSLRYxEFeXh4DXkMk+h2GaEx1sQAjyOxYUyO9gyPX+xiNi85e6mbOnNIFaVavNkrx7j5zctRtFIoT2W2sXrX6UkJLzfj0mEGzWiwmhxaLOMjPzycQMmoo94kPp8NJYWGhzVbZz/XXX09YqTFveMNRKFo9/SzIgBrbkyEvL48lixez99yZUbe56OylDy83rbspiZalP1M5aDaRaLGIg8vcFQWmFxXpFAIYdRrKSktjEotehxevCjBv3jwLLUsPVq9Zw/n21lGdBE67O3A4HFxzzTVJtiy96ZjCQbOJRItFHAz3bS8uKbHJktRCRLjm2mvZ33COQDA4oX3aHcZT35w5c6w0LS1YudLwBjvYMHI091lPJ4sXLdZDUDHS4RygYka59oSaJFos4mD4j7WkVItFhGuuuQZfwM/hCw0T2r7D2Q/oIQKA2bNnUzBt2oipPwbET5ujjzXXrLHBsvSm0z2kPaESgBaLOBjes5iKgWSjsXz5ctxuN/vOjz72Hk2nc5DS4pIplQ9qNBwOB8uvuopDIwhto8soX6vLpsaG4Qk1oB9GEoAWizgY3rPQYvEO2dnZLFmyZMJi0eUaolZnAr3E0qVLae/tob2v97LlF1zdZGdl67mdGInkhNJpPiaPFos40D2LsVm1ahWNHe0TiubucQ7pMpdRLFmyBIBjTY2XLb/o7mPBwgXakSJGdE6oxKHFIg6Gi0WkLrfGYMWKFQAcajw/5nZeCeBVAV3mMorZs2eTlZV1WfW8IGHaHf0snOLuxfGgPaEShxaLOBieilyLxeXMnj2b/Lz8cWs09OhUKVfgdDqZN28ep1ovXlrW4ewnjNJDUHHQ5RykrKRUe0IlAC0WcSAil03IarG4HKfTydJlSzkybChlOL2OIUCLxXDmz5/PmbYWQmaeqHandi+Ol07XEDNn6cntRGCZWIhItoi8JSL7ROSQiHzVXF4sIi+JyAnzdbpVNlhJfl7eO+91TYErWLp0KS3dXXQN9I+6TZ9OlTIic+fOJRAM0tzdCUBAQrhdbi2qMaJQdDkG9RBUgrCyZ+EDblVKXQWsAO4SkbXAl4BNSql6YJP5Oe3IixKIvCjh0BgsXboUgKNj9C76xEuWx6ODzIYRST1+rr310rLq6mo9uR0j/eIjSEiLRYKwTCyUQeSx0m3+KeB+4Bfm8l8AD1hlg5VED0PpGIErmTt3Lh63+7KJ2uH0O3yUFJcgIkm0LPWpqanB4XDQ0NF+aVlV9dQtrhUvXU5d8CiRWDpnISJOEdkLtAIvKaV2AOVKqWYA83XEMQgR+bSI7BKRXW1tbVaaGRfRvQn9xHclLpeLufPmcfJi86jb9Dv9lM4Yuf7AVMbj8VBRUUFTV+elZVO9uFY8dJlzYlO5imUisVQslFIhpdQKoAa4RkSWxrDvj5RSq5VSq0craGInujcxPgsXLuR028VRa0sPOP2UlpYm2ar0oLa2lqauThQKQJ+nOOh2DOJxeyjRudsSQlK8oZRS3cBm4C6gRUQqAczX1tH3TF20K9741NfXEwgGudDVccU6hWIAH8XFxTZYlvpUVVXR2tt96bMWi9jpcXqpKC/H4dBOn4nASm+oMhEpMt/nABuAo8AzwEPmZg8BT1tlg5VM5UI9EyUSF3CmteWKdV4JECKsn/pGoaKiAl8gcOnz9Olp6TRoKz0uL9W1er4iUVgpuZXAqyKyH9iJMWfxLPBN4HYROQHcbn5OO7RYjE91dTXZWVmcabtSLAbED6DFYhSGz1HolDKx0ytD2t04gbisOrBSaj9w9QjLO4DbrGo3WehhqPFxOBzUzZrF+XbDQSHb7WHAZ8RWDDgMsdBPzCMTPU+3cOFCPUkbI0OOAAFC2jEggejBvDgZnvJDMzKzZ8/mfEcbSimqpr8zPzEghmjoOYuRiZ6jWLBggR53j5FenUom4egrME7cbrfdJqQFdXV19HuH6BkcuGx5pGehxWJk8vPz8ehrLG4iqWR0doDEocUiTnJzc0GhM6aOQ21tLQCNnZd7RA04/ORkZevhvFEQET1ENwn6zJ5rKrrdpytaLOIkKysLREeHjkekjsBw99kB8eub4TgU6fMTN/0OH1meLJ23LYFosYiTyJxFYWGhzZakNqWlpWR5PLR0d122fNDho1jXLh8Tnc04fvodPkpLdCqZRGKZN1Sms2TJEj75yU+yfv16u01JaUSEyspKLvZ0X7Z8wBVgrp6vGBMtFvHT7/AzR6eSSSi6ZxEnHo+HD3zgA3oCbQJUVVdfKRbi15Pb46CHUOJnwKGzAyQaLRYay6moqKCtt8fMcmTUZwiooP4xj0NELJRS42ypGU4Ypa+vBKPFQmM55eXl+IOBS+krItHb+sc8NhHnCe3REx866j2x6DkLjeVEhuoGfEag1IBZIU97Q43N+vXrWbNmjS6uFSdaLBKL7lloLCcSjTxkpvoY1D2LCaOFIn60WCQWLRYay4kMowz6DZHQ0duaZKC9yRKLFguN5RQUFOByufAF35mzcDqd2ttHYylaLBKLFguN5YgI06OGBAYdfooKCnVyPI2lTJs2zW4TMgr9a9UkhelRQ06D4md6sZ7c1liLLn2cWLRYaJJC9GTjoDNAsS56pLEYneojsWix0CSFouHDUNpTRWMhLqfTbhMyDi0WmqQQnXBxEC0WGmvJ1S7HCUeLhSYpDJ9s1GKhsRI9X5F4tFhokoIWC00y0WKReLRYaJLC8JgKXQdEYyW6AmPi0WKhSQrD01ZosdBYiRaLxKPFQpMUhvcsdHStxkq0WCQeLRaapJCTk3PZZx1dq7GSSNljTeLQYqFJCtETjg6HQz/5aSwhHA4DWiysQIuFJilE9yzyc7UPvMYagsEgcGVPVjN5dPEjTVKIftLT2WY1VnHttddy+vRp7rnnHrtNyTi0WGiSQnSG2bxpWiw01lBeXs7nP/95u83ISPQwlCZpVFVVAbpnodGkI1osNEljw4YNgI6u1WjSES0WmqSjxUKjST+0WGiSjhYLjSb90GKhSRpKKUBH12o06YgWC03S8Pl8gBYLjSYdsUwsRKRWRF4VkSMickhE/sZcXiwiL4nICfNVF2OeIni9XkBH12o06YiVPYsg8HdKqUXAWuCvRGQx8CVgk1KqHthkftZMAfx+P6DFQqNJRywTC6VUs1Jqj/m+DzgCVAP3A78wN/sF8IBVNmhSC92z0GjSl6TMWYjILOBqYAdQrpRqBkNQgBmj7PNpEdklIrva2tqSYabGYpYsWQK8E5yn0WjSB4l4qFjWgEg+sAX4ulLqSRHpVkoVRa3vUkqNOW+xevVqtWvXLkvt1CQHr9erJ7g1UxWx24DJYGnPQkTcwBPAr5VST5qLW0Sk0lxfCbRaaYMmtdBCodGkJ1Z6QwnwU+CIUuo7UaueAR4y3z8EPG2VDRqNRqNJDFZmnb0B+BhwQET2msv+J/BN4DER+QvgPPB+C23QaDQaTQKwTCyUUm8w+hjdbVa1q9FoNJrEoyO4NRqNRjMuWiw0Go1GMy5aLDQajUYzLlosNBqNRjMuWiw0Go1GMy5aLDQajUYzLlosNBqNRjMuWiw0Go1GMy6WJxJMBCLSBpyz244RKAXa7TYizdDnLDb0+YqdVD1n7Uqpu+w2Il7SQixSFRHZpZRabbcd6YQ+Z7Ghz1fs6HNmDXoYSqPRaDTjosVCo9FoNOOixWJy/MhuA9IQfc5iQ5+v2NHnzAL0nIVGo9FoxkX3LDQajUYzLlosNBqNRjMuWiziRETuEpFjInJSRL5ktz2pjoj8TERaReSg3bakAyJSKyKvisgRETkkIn9jt02pjIhki8hbIrLPPF9ftdumTEPPWcSBiDiB48DtQCOwE/iwUuqwrYalMCKyDugHfqmUWmq3PamOiFQClUqpPSIyDdgNPKCvsZEREQHylFL9IuIG3gD+Rim13WbTMgbds4iPa4CTSqnTSik/8FvgfpttSmmUUq8BnXbbkS4opZqVUnvM933AEaDaXqtSF2XQb350m3/6STiBaLGIj2qgIepzI/qHrLEIEZkFXA3ssNmUlEZEnCKyF2gFXlJK6fOVQLRYxIeMsEw/xWgSjojkA08An1dK9dptTyqjlAoppVYANcA1IqKHOxOIFov4aARqoz7XAE022aLJUMyx9yeAXyulnrTbnnRBKdUNbAbSNmlfKqLFIj52AvUiMltEPMCHgGdstkmTQZgTtj8FjiilvmO3PamOiJSJSJH5PgfYABy11agMQ4tFHCilgsB/ATZiTDw+ppQ6ZK9VqY2IPAq8CSwQkUYR+Qu7bUpxbgA+BtwqInvNv3vsNiqFqQReFZH9GA9zLymlnrXZpoxCu85qNBqNZlx0z0Kj0Wg046LFQqPRaDTjosVCo9FoNOOixUKj0Wg046LFQqPRaDTjosVCo9FoNOOixUKj0Wg04+Ky2wCNxg5E5OPAFzByeu0HQoAXWAKUA/9NB3VpNO+gg/I0Uw4RWQI8CdyglGoXkWLgO0AFcA8wF3gVmKeU8tpnqUaTOuhhKM1U5FbgcaVUO4BSKlJn4zGlVFgpdQI4DSy0y0CNJtXQYqGZiggjp5Qfvkx3uzUaEy0WmqnIJuADIlICYA5DAbxfRBwiMheYAxyzy0CNJtXQE9yaKYdS6pCIfB3YIiIh4G1z1TFgC8YE92f1fIVG8w56glujAUTkEeBZpdTjdtui0aQiehhKo9FoNOOiexYajUajGRfds9BoNBrNuGix0Gg0Gs24aLHQaDQazbhosdBoNBrNuGix0Gg0Gs24/P/iGmsJvYqezwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 402.375x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(data=df, kind=\"violin\", x=\"cp\", y=\"age\",hue=\"sex\", split=True,palette=\"RdPu\")\n",
    "plt.title(\"Chest Pain type with respect to age and sex\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "4659dff2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>145</td>\n",
       "      <td>233</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>130</td>\n",
       "      <td>250</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>187</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>204</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>120</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>178</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "      <td>354</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
       "0   63    1   3       145   233    1        0      150      0      2.3      0   \n",
       "1   37    1   2       130   250    0        1      187      0      3.5      0   \n",
       "2   41    0   1       130   204    0        0      172      0      1.4      2   \n",
       "3   56    1   1       120   236    0        1      178      0      0.8      2   \n",
       "4   57    0   0       120   354    0        1      163      1      0.6      2   \n",
       "\n",
       "   ca  thal  target  \n",
       "0   0     1       1  \n",
       "1   0     2       1  \n",
       "2   0     2       1  \n",
       "3   0     2       1  \n",
       "4   0     2       1  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "fadf6cd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "X=df.drop('target',axis=1)\n",
    "y=df['target']\n",
    "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2,random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "14f3d11f",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn=KNeighborsClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "bcb6cac9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier()"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "7f47a0e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7603305785123967"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "knn.score(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "0199d856",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn_y_preds=knn.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "4f2a95b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6885245901639344"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "f9fac782",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "3d9a9579",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 216x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_conf_mat(y_test,knn_y_preds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "ae329b90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.69      0.62      0.65        29\n",
      "           1       0.69      0.75      0.72        32\n",
      "\n",
      "    accuracy                           0.69        61\n",
      "   macro avg       0.69      0.69      0.69        61\n",
      "weighted avg       0.69      0.69      0.69        61\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,knn_y_preds))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "69814615",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximum KNN score on the test data: 75.41\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#retarinig data\n",
    "#Let's tune KNN\n",
    "train_scores=[]\n",
    "test_scores=[]\n",
    "\n",
    "#Create a list of different n_neighbors\n",
    "neighbors=range(1,21)\n",
    "\n",
    "#Setup KNN instance\n",
    "knn=KNeighborsClassifier()\n",
    "\n",
    "#Loop thorugh different n_neighbors\n",
    "for i in neighbors:\n",
    "    knn.set_params(n_neighbors=i)\n",
    "    \n",
    "    #Fit the algorithm\n",
    "    knn.fit(X_train,y_train)\n",
    "    \n",
    "    #Update the trainig scores list\n",
    "    train_scores.append(knn.score(X_train,y_train))\n",
    "    \n",
    "    #Update the testing scores list\n",
    "    test_scores.append(knn.score(X_test,y_test))\n",
    "    \n",
    "plt.plot(neighbors,train_scores,label=\"Train Score\")\n",
    "plt.plot(neighbors,test_scores,label=\"Test Score\")\n",
    "plt.xticks(np.arange(1,21))\n",
    "plt.xlabel(\"Number of neighbors\")\n",
    "plt.ylabel(\"Model Score\")\n",
    "plt.legend()\n",
    "\n",
    "print(f\"Maximum KNN score on the test data: {max(test_scores)*100:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e84db81",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
